Marketplace data analysis

Dataset statistics

Number of variables	28
Number of observations	602
Missing cells	1656
Missing cells (%)	9.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	131.8 KiB
Average record size in memory	224.2 B

Variable types

Numeric	10
DateTime	1
Categorical	16
Unsupported	1

Warnings

`Date Added` has constant value "2020-11-15 00:00:00"	Constant
`category` has constant value "Garden"	Constant
`days_when_seller_added` has constant value "223"	Constant
`sellerlink` has a high cardinality: 602 distinct values	High cardinality
`sellerlink-url` has a high cardinality: 602 distinct values	High cardinality
`sellerstorefront-url` has a high cardinality: 602 distinct values	High cardinality
`sellerproductcount` has a high cardinality: 235 distinct values	High cardinality
`sellerratings` has a high cardinality: 472 distinct values	High cardinality
`sellerdetails` has a high cardinality: 572 distinct values	High cardinality
`seller business name` has a high cardinality: 546 distinct values	High cardinality
`businessaddress` has a high cardinality: 527 distinct values	High cardinality
`Sample brand name` has a high cardinality: 486 distinct values	High cardinality
`Sample Brand URL` has a high cardinality: 493 distinct values	High cardinality
`seller_email_address1` has a high cardinality: 144 distinct values	High cardinality
`seller_phone_number` has a high cardinality: 350 distinct values	High cardinality
`Max % of negative seller ratings - last 30 days` is highly correlated with `Max % of negative seller ratings - last 90 days`	High correlation
`Max % of negative seller ratings - last 90 days` is highly correlated with `Max % of negative seller ratings - last 30 days` and 1 other fields	High correlation
`Max % of negative seller ratings - last 12 months` is highly correlated with `Max % of negative seller ratings - last 90 days` and 1 other fields	High correlation
`Hero Product 1 #ratings` is highly correlated with `Hero Product 2 #ratings`	High correlation
`Hero Product 2 #ratings` is highly correlated with `Hero Product 1 #ratings`	High correlation
`seller_positive_rating_percentage` is highly correlated with `Max % of negative seller ratings - last 12 months`	High correlation
`Count of seller brands` is highly correlated with `Hero Product 1 #ratings` and 1 other fields	High correlation
`Max % of negative seller ratings - last 30 days` is highly correlated with `Max % of negative seller ratings - last 90 days`	High correlation
`Max % of negative seller ratings - last 90 days` is highly correlated with `Max % of negative seller ratings - last 30 days` and 1 other fields	High correlation
`Max % of negative seller ratings - last 12 months` is highly correlated with `Max % of negative seller ratings - last 90 days` and 1 other fields	High correlation
`Hero Product 1 #ratings` is highly correlated with `Count of seller brands` and 1 other fields	High correlation
`Hero Product 2 #ratings` is highly correlated with `Count of seller brands` and 1 other fields	High correlation
`seller_positive_rating_percentage` is highly correlated with `Max % of negative seller ratings - last 12 months`	High correlation
`Count of seller brands` is highly correlated with `Hero Product 1 #ratings` and 1 other fields	High correlation
`Max % of negative seller ratings - last 30 days` is highly correlated with `Max % of negative seller ratings - last 90 days`	High correlation
`Max % of negative seller ratings - last 90 days` is highly correlated with `Max % of negative seller ratings - last 30 days` and 1 other fields	High correlation
`Max % of negative seller ratings - last 12 months` is highly correlated with `Max % of negative seller ratings - last 90 days` and 1 other fields	High correlation
`Hero Product 1 #ratings` is highly correlated with `Count of seller brands` and 1 other fields	High correlation
`Hero Product 2 #ratings` is highly correlated with `Count of seller brands` and 1 other fields	High correlation
`seller_positive_rating_percentage` is highly correlated with `Max % of negative seller ratings - last 12 months`	High correlation
`Max % of negative seller ratings - last 30 days` is highly correlated with `Max % of negative seller ratings - last 12 months` and 1 other fields	High correlation
`seller_count` is highly correlated with `country_code` and 1 other fields	High correlation
`seller_email_address2` is highly correlated with `Count of seller brands` and 4 other fields	High correlation
`Count of seller brands` is highly correlated with `seller_email_address2`	High correlation
`Hero Product 1 #ratings` is highly correlated with `seller_email_address2` and 2 other fields	High correlation
`seller_positive_rating_percentage` is highly correlated with `seller_email_address2` and 3 other fields	High correlation
`country_code` is highly correlated with `seller_count` and 4 other fields	High correlation
`Max % of negative seller ratings - last 12 months` is highly correlated with `Max % of negative seller ratings - last 30 days` and 2 other fields	High correlation
`Hero Product 2 #ratings` is highly correlated with `Hero Product 1 #ratings` and 1 other fields	High correlation
`df_index` is highly correlated with `seller_email_address2`	High correlation
`Max % of negative seller ratings - last 90 days` is highly correlated with `Max % of negative seller ratings - last 30 days` and 2 other fields	High correlation
`seller_positive_rating_count` is highly correlated with `seller_count`	High correlation
`days_when_seller_added` is highly correlated with `category` and 2 other fields	High correlation
`category` is highly correlated with `days_when_seller_added` and 2 other fields	High correlation
`country_code` is highly correlated with `days_when_seller_added` and 2 other fields	High correlation
`seller_email_address2` is highly correlated with `days_when_seller_added` and 2 other fields	High correlation
`sellerproductcount` has 121 (20.1%) missing values	Missing
`sellerratings` has 43 (7.1%) missing values	Missing
`sellerdetails` has 26 (4.3%) missing values	Missing
`seller business name` has 56 (9.3%) missing values	Missing
`businessaddress` has 75 (12.5%) missing values	Missing
`country_code` has 75 (12.5%) missing values	Missing
`seller_count` has 121 (20.1%) missing values	Missing
`seller_positive_rating_percentage` has 43 (7.1%) missing values	Missing
`seller_positive_rating_count` has 43 (7.1%) missing values	Missing
`seller_email_address1` has 457 (75.9%) missing values	Missing
`seller_email_address2` has 596 (99.0%) missing values	Missing
`sellerlink` is uniformly distributed	Uniform
`sellerlink-url` is uniformly distributed	Uniform
`sellerstorefront-url` is uniformly distributed	Uniform
`sellerratings` is uniformly distributed	Uniform
`sellerdetails` is uniformly distributed	Uniform
`seller business name` is uniformly distributed	Uniform
`businessaddress` is uniformly distributed	Uniform
`Sample brand name` is uniformly distributed	Uniform
`Sample Brand URL` is uniformly distributed	Uniform
`seller_email_address1` is uniformly distributed	Uniform
`seller_email_address2` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`sellerlink` has unique values	Unique
`sellerlink-url` has unique values	Unique
`sellerstorefront-url` has unique values	Unique
`seller_email_address` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Count of seller brands` has 125 (20.8%) zeros	Zeros
`Max % of negative seller ratings - last 30 days` has 416 (69.1%) zeros	Zeros
`Max % of negative seller ratings - last 90 days` has 316 (52.5%) zeros	Zeros
`Max % of negative seller ratings - last 12 months` has 178 (29.6%) zeros	Zeros
`Hero Product 1 #ratings` has 127 (21.1%) zeros	Zeros
`Hero Product 2 #ratings` has 136 (22.6%) zeros	Zeros

Reproduction

Analysis started	2021-06-26 14:12:58.038851
Analysis finished	2021-06-26 14:13:19.552746
Duration	21.51 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	602
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	646.0348837

Minimum	0
Maximum	1828
Zeros	1
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	0
5-th percentile	60.1
Q1	251.25
median	636
Q3	877.75
95-th percentile	1720.95
Maximum	1828
Range	1828
Interquartile range (IQR)	626.5

Descriptive statistics

Standard deviation	445.2772852
Coefficient of variation (CV)	0.6892465041
Kurtosis	0.3117218786
Mean	646.0348837
Median Absolute Deviation (MAD)	306
Skewness	0.7759292934
Sum	388913
Variance	198271.8607
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1022	1	0.2%
313	1	0.2%
310	1	0.2%
309	1	0.2%
308	1	0.2%
306	1	0.2%
1326	1	0.2%
301	1	0.2%
300	1	0.2%
1311	1	0.2%
Other values (592)	592	98.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.2%
1	1	0.2%
5	1	0.2%
14	1	0.2%
19	1	0.2%
20	1	0.2%
21	1	0.2%
22	1	0.2%
23	1	0.2%
24	1	0.2%

Value	Count	Frequency (%)
1828	1	0.2%
1815	1	0.2%
1814	1	0.2%
1813	1	0.2%
1808	1	0.2%
1798	1	0.2%
1785	1	0.2%
1784	1	0.2%
1781	1	0.2%
1780	1	0.2%

Date Added
Date

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

Minimum	2020-11-15 00:00:00
Maximum	2020-11-15 00:00:00

Histogram

Histogram with fixed size bins (bins=1)

category
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

Garden	602

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	3612
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Garden
2nd row	Garden
3rd row	Garden
4th row	Garden
5th row	Garden

Common Values

Value	Count	Frequency (%)
Garden	602	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
garden	602	100.0%

Most occurring characters

Value	Count	Frequency (%)
G	602	16.7%
a	602	16.7%
r	602	16.7%
d	602	16.7%
e	602	16.7%
n	602	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3010	83.3%
Uppercase Letter	602	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	602	20.0%
r	602	20.0%
d	602	20.0%
e	602	20.0%
n	602	20.0%

Uppercase Letter

Value	Count	Frequency (%)
G	602	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3612	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
G	602	16.7%
a	602	16.7%
r	602	16.7%
d	602	16.7%
e	602	16.7%
n	602	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3612	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
G	602	16.7%
a	602	16.7%
r	602	16.7%
d	602	16.7%
e	602	16.7%
n	602	16.7%

sellerlink
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	602
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

Seller 1058	1
Seller 41	1
Seller 90	1
Seller 682	1
Seller 1065	1
Other values (597)	597

Length

Max length	11
Median length	10
Mean length	10.05813953
Min length	8

Characters and Unicode

Total characters	6055
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	602 ?
Unique (%)	100.0%

Sample

1st row	Seller 1
2nd row	Seller 2
3rd row	Seller 6
4th row	Seller 15
5th row	Seller 20

Common Values

Value	Count	Frequency (%)
Seller 1058	1	0.2%
Seller 41	1	0.2%
Seller 90	1	0.2%
Seller 682	1	0.2%
Seller 1065	1	0.2%
Seller 1727	1	0.2%
Seller 905	1	0.2%
Seller 492	1	0.2%
Seller 842	1	0.2%
Seller 535	1	0.2%
Other values (592)	592	98.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
seller	602	50.0%
324	1	0.1%
265	1	0.1%
1008	1	0.1%
1582	1	0.1%
832	1	0.1%
1744	1	0.1%
492	1	0.1%
650	1	0.1%
708	1	0.1%
Other values (593)	593	49.3%

Most occurring characters

Value	Count	Frequency (%)
e	1204	19.9%
l	1204	19.9%
S	602	9.9%
r	602	9.9%
	602	9.9%
1	281	4.6%
7	211	3.5%
8	195	3.2%
5	191	3.2%
2	177	2.9%
Other values (5)	786	13.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3010	49.7%
Decimal Number	1841	30.4%
Uppercase Letter	602	9.9%
Space Separator	602	9.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	281	15.3%
7	211	11.5%
8	195	10.6%
5	191	10.4%
2	177	9.6%
6	167	9.1%
9	165	9.0%
3	164	8.9%
4	147	8.0%
0	143	7.8%

Lowercase Letter

Value	Count	Frequency (%)
e	1204	40.0%
l	1204	40.0%
r	602	20.0%

Uppercase Letter

Value	Count	Frequency (%)
S	602	100.0%

Space Separator

Value	Count	Frequency (%)
	602	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3612	59.7%
Common	2443	40.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	602	24.6%
1	281	11.5%
7	211	8.6%
8	195	8.0%
5	191	7.8%
2	177	7.2%
6	167	6.8%
9	165	6.8%
3	164	6.7%
4	147	6.0%

Latin

Value	Count	Frequency (%)
e	1204	33.3%
l	1204	33.3%
S	602	16.7%
r	602	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6055	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1204	19.9%
l	1204	19.9%
S	602	9.9%
r	602	9.9%
	602	9.9%
1	281	4.6%
7	211	3.5%
8	195	3.2%
5	191	3.2%
2	177	2.9%
Other values (5)	786	13.0%

sellerlink-url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	602
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

Seller 165-link	1
Seller 187-link	1
Seller 951-link	1
Seller 844-link	1
Seller 939-link	1
Other values (597)	597

Length

Max length	16
Median length	15
Mean length	15.05813953
Min length	13

Characters and Unicode

Total characters	9065
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	602 ?
Unique (%)	100.0%

Sample

1st row	Seller 1-link
2nd row	Seller 2-link
3rd row	Seller 6-link
4th row	Seller 15-link
5th row	Seller 20-link

Common Values

Value	Count	Frequency (%)
Seller 165-link	1	0.2%
Seller 187-link	1	0.2%
Seller 951-link	1	0.2%
Seller 844-link	1	0.2%
Seller 939-link	1	0.2%
Seller 265-link	1	0.2%
Seller 323-link	1	0.2%
Seller 365-link	1	0.2%
Seller 715-link	1	0.2%
Seller 984-link	1	0.2%
Other values (592)	592	98.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
seller	602	50.0%
564-link	1	0.1%
820-link	1	0.1%
620-link	1	0.1%
221-link	1	0.1%
672-link	1	0.1%
778-link	1	0.1%
558-link	1	0.1%
853-link	1	0.1%
430-link	1	0.1%
Other values (593)	593	49.3%

Most occurring characters

Value	Count	Frequency (%)
l	1806	19.9%
e	1204	13.3%
S	602	6.6%
r	602	6.6%
	602	6.6%
-	602	6.6%
i	602	6.6%
n	602	6.6%
k	602	6.6%
1	281	3.1%
Other values (9)	1560	17.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5418	59.8%
Decimal Number	1841	20.3%
Uppercase Letter	602	6.6%
Space Separator	602	6.6%
Dash Punctuation	602	6.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	281	15.3%
7	211	11.5%
8	195	10.6%
5	191	10.4%
2	177	9.6%
6	167	9.1%
9	165	9.0%
3	164	8.9%
4	147	8.0%
0	143	7.8%

Lowercase Letter

Value	Count	Frequency (%)
l	1806	33.3%
e	1204	22.2%
r	602	11.1%
i	602	11.1%
n	602	11.1%
k	602	11.1%

Uppercase Letter

Value	Count	Frequency (%)
S	602	100.0%

Space Separator

Value	Count	Frequency (%)
	602	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	602	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6020	66.4%
Common	3045	33.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
	602	19.8%
-	602	19.8%
1	281	9.2%
7	211	6.9%
8	195	6.4%
5	191	6.3%
2	177	5.8%
6	167	5.5%
9	165	5.4%
3	164	5.4%
Other values (2)	290	9.5%

Latin

Value	Count	Frequency (%)
l	1806	30.0%
e	1204	20.0%
S	602	10.0%
r	602	10.0%
i	602	10.0%
n	602	10.0%
k	602	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9065	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	1806	19.9%
e	1204	13.3%
S	602	6.6%
r	602	6.6%
	602	6.6%
-	602	6.6%
i	602	6.6%
n	602	6.6%
k	602	6.6%
1	281	3.1%
Other values (9)	1560	17.2%

sellerstorefront-url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	602
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

Seller 66-storefrontlink	1
Seller 1526-storefrontlink	1
Seller 1541-storefrontlink	1
Seller 435-storefrontlink	1
Seller 589-storefrontlink	1
Other values (597)	597

Length

Max length	26
Median length	25
Mean length	25.05813953
Min length	23

Characters and Unicode

Total characters	15085
Distinct characters	23
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	602 ?
Unique (%)	100.0%

Sample

1st row	Seller 1-storefrontlink
2nd row	Seller 2-storefrontlink
3rd row	Seller 6-storefrontlink
4th row	Seller 15-storefrontlink
5th row	Seller 20-storefrontlink

Common Values

Value	Count	Frequency (%)
Seller 66-storefrontlink	1	0.2%
Seller 1526-storefrontlink	1	0.2%
Seller 1541-storefrontlink	1	0.2%
Seller 435-storefrontlink	1	0.2%
Seller 589-storefrontlink	1	0.2%
Seller 475-storefrontlink	1	0.2%
Seller 158-storefrontlink	1	0.2%
Seller 979-storefrontlink	1	0.2%
Seller 787-storefrontlink	1	0.2%
Seller 1525-storefrontlink	1	0.2%
Other values (592)	592	98.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
seller	602	50.0%
577-storefrontlink	1	0.1%
868-storefrontlink	1	0.1%
781-storefrontlink	1	0.1%
419-storefrontlink	1	0.1%
894-storefrontlink	1	0.1%
192-storefrontlink	1	0.1%
556-storefrontlink	1	0.1%
553-storefrontlink	1	0.1%
218-storefrontlink	1	0.1%
Other values (593)	593	49.3%

Most occurring characters

Value	Count	Frequency (%)
e	1806	12.0%
l	1806	12.0%
r	1806	12.0%
t	1204	8.0%
o	1204	8.0%
n	1204	8.0%
S	602	4.0%
	602	4.0%
-	602	4.0%
s	602	4.0%
Other values (13)	3647	24.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11438	75.8%
Decimal Number	1841	12.2%
Uppercase Letter	602	4.0%
Space Separator	602	4.0%
Dash Punctuation	602	4.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1806	15.8%
l	1806	15.8%
r	1806	15.8%
t	1204	10.5%
o	1204	10.5%
n	1204	10.5%
s	602	5.3%
f	602	5.3%
i	602	5.3%
k	602	5.3%

Decimal Number

Value	Count	Frequency (%)
1	281	15.3%
7	211	11.5%
8	195	10.6%
5	191	10.4%
2	177	9.6%
6	167	9.1%
9	165	9.0%
3	164	8.9%
4	147	8.0%
0	143	7.8%

Uppercase Letter

Value	Count	Frequency (%)
S	602	100.0%

Space Separator

Value	Count	Frequency (%)
	602	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	602	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12040	79.8%
Common	3045	20.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
	602	19.8%
-	602	19.8%
1	281	9.2%
7	211	6.9%
8	195	6.4%
5	191	6.3%
2	177	5.8%
6	167	5.5%
9	165	5.4%
3	164	5.4%
Other values (2)	290	9.5%

Latin

Value	Count	Frequency (%)
e	1806	15.0%
l	1806	15.0%
r	1806	15.0%
t	1204	10.0%
o	1204	10.0%
n	1204	10.0%
S	602	5.0%
s	602	5.0%
f	602	5.0%
i	602	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15085	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1806	12.0%
l	1806	12.0%
r	1806	12.0%
t	1204	8.0%
o	1204	8.0%
n	1204	8.0%
S	602	4.0%
	602	4.0%
-	602	4.0%
s	602	4.0%
Other values (13)	3647	24.2%

sellerproductcount
Categorical

HIGH CARDINALITY
MISSING

Distinct	235
Distinct (%)	48.9%
Missing	121
Missing (%)	20.1%
Memory size	4.8 KiB

1-16 of over 1,000 results	50
1-16 of over 2,000 results	38
1-16 of over 3,000 results	26
1-16 of over 10,000 results	24
1-16 of over 4,000 results	12
Other values (230)	331

Length

Max length	28
Median length	19
Mean length	22.18503119
Min length	9

Characters and Unicode

Total characters	10671
Distinct characters	22
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	186 ?
Unique (%)	38.7%

Sample

1st row	1-16 of over 100,000 results
2nd row	1-16 of 28 results
3rd row	1-16 of 919 results
4th row	1-16 of 123 results
5th row	1-16 of over 40,000 results

Common Values

Value	Count	Frequency (%)
1-16 of over 1,000 results	50	8.3%
1-16 of over 2,000 results	38	6.3%
1-16 of over 3,000 results	26	4.3%
1-16 of over 10,000 results	24	4.0%
1-16 of over 4,000 results	12	2.0%
1-16 of over 5,000 results	11	1.8%
1-16 of over 8,000 results	9	1.5%
1-16 of over 6,000 results	8	1.3%
1-16 of over 100,000 results	8	1.3%
1-16 of over 30,000 results	8	1.3%
Other values (225)	287	47.7%
(Missing)	121	20.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
results	481	22.5%
of	473	22.1%
1-16	473	22.1%
over	228	10.7%
1,000	50	2.3%
2,000	38	1.8%
3,000	26	1.2%
10,000	24	1.1%
4,000	12	0.6%
5,000	11	0.5%
Other values (229)	320	15.0%

Most occurring characters

Value	Count	Frequency (%)
	1655	15.5%
1	1114	10.4%
s	962	9.0%
0	800	7.5%
e	709	6.6%
r	709	6.6%
o	701	6.6%
6	549	5.1%
u	481	4.5%
l	481	4.5%
Other values (12)	2510	23.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5225	49.0%
Decimal Number	3090	29.0%
Space Separator	1655	15.5%
Dash Punctuation	473	4.4%
Other Punctuation	228	2.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1114	36.1%
0	800	25.9%
6	549	17.8%
2	129	4.2%
3	114	3.7%
5	91	2.9%
4	86	2.8%
8	70	2.3%
7	69	2.2%
9	68	2.2%

Lowercase Letter

Value	Count	Frequency (%)
s	962	18.4%
e	709	13.6%
r	709	13.6%
o	701	13.4%
u	481	9.2%
l	481	9.2%
t	481	9.2%
f	473	9.1%
v	228	4.4%

Dash Punctuation

Value	Count	Frequency (%)
-	473	100.0%

Space Separator

Value	Count	Frequency (%)
	1655	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	228	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5446	51.0%
Latin	5225	49.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1655	30.4%
1	1114	20.5%
0	800	14.7%
6	549	10.1%
-	473	8.7%
,	228	4.2%
2	129	2.4%
3	114	2.1%
5	91	1.7%
4	86	1.6%
Other values (3)	207	3.8%

Latin

Value	Count	Frequency (%)
s	962	18.4%
e	709	13.6%
r	709	13.6%
o	701	13.4%
u	481	9.2%
l	481	9.2%
t	481	9.2%
f	473	9.1%
v	228	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10671	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1655	15.5%
1	1114	10.4%
s	962	9.0%
0	800	7.5%
e	709	6.6%
r	709	6.6%
o	701	6.6%
6	549	5.1%
u	481	4.5%
l	481	4.5%
Other values (12)	2510	23.5%

sellerratings
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	472
Distinct (%)	84.4%
Missing	43
Missing (%)	7.1%
Memory size	4.8 KiB

100% positive lifetime (1 total ratings)	8
100% positive lifetime (2 total ratings)	8
100% positive in the last 12 months (16 ratings)	5
100% positive lifetime (4 total ratings)	5
0% positive lifetime (1 total ratings)	5
Other values (467)	528

Length

Max length	50
Median length	48
Mean length	46.27728086
Min length	38

Characters and Unicode

Total characters	25869
Distinct characters	29
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	424 ?
Unique (%)	75.8%

Sample

1st row	88% positive in the last 12 months (118 ratings)
2nd row	90% positive in the last 12 months (566 ratings)
3rd row	97% positive in the last 12 months (116 ratings)
4th row	76% positive in the last 12 months (3721 ratings)
5th row	92% positive in the last 12 months (181 ratings)

Common Values

Value	Count	Frequency (%)
100% positive lifetime (1 total ratings)	8	1.3%
100% positive lifetime (2 total ratings)	8	1.3%
100% positive in the last 12 months (16 ratings)	5	0.8%
100% positive lifetime (4 total ratings)	5	0.8%
0% positive lifetime (1 total ratings)	5	0.8%
100% positive in the last 12 months (11 ratings)	5	0.8%
67% positive lifetime (3 total ratings)	4	0.7%
90% positive lifetime (10 total ratings)	4	0.7%
100% positive in the last 12 months (10 ratings)	4	0.7%
91% positive in the last 12 months (11 ratings)	4	0.7%
Other values (462)	507	84.2%
(Missing)	43	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ratings	559	11.9%
positive	559	11.9%
12	459	9.7%
the	453	9.6%
in	453	9.6%
last	453	9.6%
months	453	9.6%
lifetime	106	2.2%
total	106	2.2%
100	83	1.8%
Other values (315)	1029	21.8%

Most occurring characters

Value	Count	Frequency (%)
	4154	16.1%
t	2795	10.8%
i	2342	9.1%
s	2024	7.8%
n	1465	5.7%
e	1224	4.7%
o	1118	4.3%
a	1118	4.3%
h	906	3.5%
1	866	3.3%
Other values (19)	7857	30.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16558	64.0%
Space Separator	4154	16.1%
Decimal Number	3480	13.5%
Other Punctuation	559	2.2%
Open Punctuation	559	2.2%
Close Punctuation	559	2.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2795	16.9%
i	2342	14.1%
s	2024	12.2%
n	1465	8.8%
e	1224	7.4%
o	1118	6.8%
a	1118	6.8%
h	906	5.5%
l	665	4.0%
p	559	3.4%
Other values (5)	2342	14.1%

Decimal Number

Value	Count	Frequency (%)
1	866	24.9%
2	668	19.2%
9	469	13.5%
0	311	8.9%
8	245	7.0%
7	198	5.7%
3	193	5.5%
4	188	5.4%
6	176	5.1%
5	166	4.8%

Other Punctuation

Value	Count	Frequency (%)
%	559	100.0%

Space Separator

Value	Count	Frequency (%)
	4154	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	559	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	559	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16558	64.0%
Common	9311	36.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2795	16.9%
i	2342	14.1%
s	2024	12.2%
n	1465	8.8%
e	1224	7.4%
o	1118	6.8%
a	1118	6.8%
h	906	5.5%
l	665	4.0%
p	559	3.4%
Other values (5)	2342	14.1%

Common

Value	Count	Frequency (%)
	4154	44.6%
1	866	9.3%
2	668	7.2%
%	559	6.0%
(	559	6.0%
)	559	6.0%
9	469	5.0%
0	311	3.3%
8	245	2.6%
7	198	2.1%
Other values (4)	723	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25869	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4154	16.1%
t	2795	10.8%
i	2342	9.1%
s	2024	7.8%
n	1465	5.7%
e	1224	4.7%
o	1118	4.3%
a	1118	4.3%
h	906	3.5%
1	866	3.3%
Other values (19)	7857	30.4%

sellerdetails
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	572
Distinct (%)	99.3%
Missing	26
Missing (%)	4.3%
Memory size	4.8 KiB

The European Commission provides for an Online Dispute Resolution Platform, which you can access here: https://ec.europa.eu/consumers/odr/Please see the following link for the nationally appointed Alternative Dispute Resolution bodies contact details: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.show	3
Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/Unter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungsstellen: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.show	3
Toystreet Ltd is committed to providing each customer with the highest standard of customer service.	1
Impressum: Gesetzlicher Anbietererkennung: KOS24 GmbH Hengsener Str. 8 44309 Dortmund Telefon: +49 (0)1719352050 Email: kos24@t-online.de KOS24 GmbH wird vertreten durch: Geschäftsführer: Josef Luig Registergericht: Amtsgericht Dortmund Handelsregister - Registernummer: HRB 29935 Umsatzsteuer- Identifikationsnummer gemäß §27a Umsatzsteuergesetz (UStG): DE317700766 Den klickbaren Link zur Online-Streitschlichtungsplattform finden sie unter "mehr lesen" Wir sind nicht bereit, an Streitbeilegungs...	1
Impressum: Gesetzlicher Anbietererkennung: VIKING - GEAR Inhaber: Sven Orlinski Möhnestraße 36 59755 Arnsberg Telefon: +49 (0)151 70333650 Email: info@viking-gear.de VIKING - GEAR wird vertreten durch: Geschäftsführer: Sven Orlinski Umsatzsteuer- Identifikationsnummer gemäß §27a Umsatzsteuergesetz (UStG): DE325588950 Den klickbaren Link zur Online-Streitschlichtungsplattform finden sie unter "mehr lesen" Wir sind nicht bereit, an Streitbeilegungsverfahren vor Verbraucherschlichtungsstellen tei...	1
Other values (567)	567

Length

Max length	689
Median length	503
Mean length	356.6631944
Min length	20

Characters and Unicode

Total characters	205438
Distinct characters	113
Distinct categories	18 ?
Distinct scripts	3 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	570 ?
Unique (%)	99.0%

Sample

1st row	Lohas Living Inc James Mazzello US 845 3RD Ave Fl 6 New York NY 10022-6630 +1208-964-6807 Email Address:jadgemaello@gmail.com James Mazzello US 845 3RD Ave Fl 6 New York NY 10022-6630 +1208-964-6807 EIN: 30-0961431 The European Commission provides for an Online Dispute Resolution Platform, which you can access here: https://ec.europa.eu/consumers/odr/ Please see the following link for the nationally appointed Alternative Dispute Resolution bodies contact details: https://webgate.ec.europa.eu/od...
2nd row	Herzlich Willkommen im Amazon Shop von 1a-Handelsagentur. Für Fragen stehen wir Ihnen gerne unter der 039932-829721 zur Verfügung. Sie können auch direkt eine E-Mail an info@1a-handelsagentur.de schreiben. Anschrift 1a-handelsagentur.de Andre Burmeister Lindenallee 2 17213 Malchow Kontakt Tel.: 039932 - 829721 Fax.: 039932 – 81417 E-Mail: info@1a-handelsagentur.de Internet: www.1a-handelsagentur.de Umsatzsteueridentnummer: DE 223758473 Wir berechnen Ihnen folgende Versandkosten:(DE) Deutschland 0,00 E...
3rd row	7830jeff is committed to providing each customer with the highest standard of customer service.
4th row	Impressum Gesetzliche Anbieterkennung: Oliver Mills 9:PM An der Bundesstrasse 26 33829 Borgholzhausen Deutschland Telefon: 015140008562 E-Mail: webmaster@9pm-store.de USt-IdNr.: DE215752000 Wir sind seit 01.08.2015 Mitglied der Initiative "FairCommerce". Nähere Informationen hierzu finden Sie unter .fair-commerce.de. Alternative Streitbeilegung: Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/ Unter diesem L...
5th row	Impressum: ABC-Schnäppchenmarkt GmbH Jösser Weg 10 32469 Petershagen-Windheim Deutschland Tel.: 0570591155 Fax: 0570591156 E-Mail: abc-markt@web.de Registergericht: Amtsgericht Bad Oeynhausen Registernummer: HRB 10862 Geschäftsführer: Thomas Wiebke Umsatzsteuer-Identifikationsnummer gemäß § 27 a Umsatzsteuergesetz: DE 213823102 Den anklickbaren Link zur Plattform der EU-Kommission zur Online Streitbeilegung erreichen Sie, indem Sie auf den Nachfolgenden Punkt "Mehr lesen" klicken Wir...

Common Values

Value	Count	Frequency (%)
The European Commission provides for an Online Dispute Resolution Platform, which you can access here: https://ec.europa.eu/consumers/odr/Please see the following link for the nationally appointed Alternative Dispute Resolution bodies contact details: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.show	3	0.5%
Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/Unter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungsstellen: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.show	3	0.5%
Toystreet Ltd is committed to providing each customer with the highest standard of customer service.	1	0.2%
Impressum: Gesetzlicher Anbietererkennung: KOS24 GmbH Hengsener Str. 8 44309 Dortmund Telefon: +49 (0)1719352050 Email: kos24@t-online.de KOS24 GmbH wird vertreten durch: Geschäftsführer: Josef Luig Registergericht: Amtsgericht Dortmund Handelsregister - Registernummer: HRB 29935 Umsatzsteuer- Identifikationsnummer gemäß §27a Umsatzsteuergesetz (UStG): DE317700766 Den klickbaren Link zur Online-Streitschlichtungsplattform finden sie unter "mehr lesen" Wir sind nicht bereit, an Streitbeilegungs...	1	0.2%
Impressum: Gesetzlicher Anbietererkennung: VIKING - GEAR Inhaber: Sven Orlinski Möhnestraße 36 59755 Arnsberg Telefon: +49 (0)151 70333650 Email: info@viking-gear.de VIKING - GEAR wird vertreten durch: Geschäftsführer: Sven Orlinski Umsatzsteuer- Identifikationsnummer gemäß §27a Umsatzsteuergesetz (UStG): DE325588950 Den klickbaren Link zur Online-Streitschlichtungsplattform finden sie unter "mehr lesen" Wir sind nicht bereit, an Streitbeilegungsverfahren vor Verbraucherschlichtungsstellen tei...	1	0.2%
SL Handels GmbH Geschäftsführer Klaus Schmidt Dorfstraße 88 52538 Gangelt-Niederbusch Deutschland Telefon:02454 - 9028162 Fax:02454-9028163 E-Mail:info@sl-handelsgmbh.de Rechtsform: GmbH Redaktionelle Verantwortung: Klaus Schmidt, Dorfstr. 88, 52538 Gangelt Handelsregisternummer: Amtsgericht Aachen HRB 13386 Umsatzsteuer-Identifikationsnummer: DE 246900663 Die Mehrwertsteuer wird auf meinen Rechnungen separat ausgewiesen. Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegun...	1	0.2%
Lizzy Outlet is committed to providing each customer with the highest standard of customer service.	1	0.2%
Impressum Gesetzliche Anbieterkennung: TipTopCarbon GmbH diese vertreten durch den Geschäftsführer Jerome Witzki Im Lindental 48 58135 Hagen Deutschland Telefon: 02331-9815210 E-Mail: der-folien-shop@web.de USt-IdNr.: DE293751665 eingetragen im Handelsregister des Amtsgerichtes Hagen Handelsregisternummer HRB 9608 WEEE-RegNr. DE86190570 Hinweis nach der ADR-Richtlinie / VSBG: Bei einer Streitigkeit über einen Verbrauchervertrag sind wir zu einer Teilnahme an einem Streitbeilegungsverfa...	1	0.2%
Wolldiscount24 GmbH, vertreten durch die Geschäftsführerin Sandra Silberbach Zechenring 24 91257 Pegnitz Handelsregister: Amtsgericht Bayreuth (HRB 7124) Umsatzsteuer-Identifikationsnummer gemäß § 27 a Umsatzsteuergesetz: DE328661580 Tel: 01516-7173001 E-Mail: info@wolldiscount24.com Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/ Unter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungs...	1	0.2%
TECH-FUN is committed to providing each customer with the highest standard of customer service.	1	0.2%
Other values (562)	562	93.4%
(Missing)	26	4.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
die	611	2.7%
customer	382	1.7%
	328	1.4%
sie	300	1.3%
the	248	1.1%
der	245	1.1%
finden	242	1.1%
e-mail	240	1.1%
eine	233	1.0%
für	228	1.0%
Other values (6196)	19672	86.6%

Most occurring characters

Value	Count	Frequency (%)
	22421	10.9%
e	21658	10.5%
i	11684	5.7%
r	11349	5.5%
t	11129	5.4%
n	10865	5.3%
s	8286	4.0%
a	7031	3.4%
o	5992	2.9%
l	5412	2.6%
Other values (103)	89611	43.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	135651	66.0%
Space Separator	23857	11.6%
Uppercase Letter	15365	7.5%
Decimal Number	14514	7.1%
Other Punctuation	8297	4.0%
Control	4927	2.4%
Dash Punctuation	2003	1.0%
Open Punctuation	278	0.1%
Close Punctuation	253	0.1%
Math Symbol	182	0.1%
Other values (8)	111	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	21658	16.0%
i	11684	8.6%
r	11349	8.4%
t	11129	8.2%
n	10865	8.0%
s	8286	6.1%
a	7031	5.2%
o	5992	4.4%
l	5412	4.0%
h	5130	3.8%
Other values (22)	37115	27.4%

Uppercase Letter

Value	Count	Frequency (%)
S	1699	11.1%
E	1262	8.2%
D	1170	7.6%
G	906	5.9%
I	896	5.8%
H	859	5.6%
T	856	5.6%
A	804	5.2%
K	779	5.1%
U	712	4.6%
Other values (19)	5422	35.3%

Other Punctuation

Value	Count	Frequency (%)
.	3403	41.0%
:	2310	27.8%
/	1210	14.6%
,	534	6.4%
@	337	4.1%
&	136	1.6%
"	132	1.6%
§	89	1.1%
;	64	0.8%
?	43	0.5%
Other values (4)	39	0.5%

Decimal Number

Value	Count	Frequency (%)
0	1998	13.8%
2	1849	12.7%
1	1798	12.4%
9	1469	10.1%
4	1401	9.7%
3	1341	9.2%
5	1218	8.4%
7	1213	8.4%
8	1119	7.7%
6	1108	7.6%

Math Symbol

Value	Count	Frequency (%)
+	137	75.3%
=	36	19.8%
\|	5	2.7%
>	3	1.6%
<	1	0.5%

Space Separator

Value	Count	Frequency (%)
	22421	94.0%
	1434	6.0%
	2	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	254	91.4%
„	21	7.6%
[	3	1.1%

Other Symbol

Value	Count	Frequency (%)
©	5	50.0%
®	4	40.0%
°	1	10.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2000	99.9%
–	3	0.1%

Control

Value	Count	Frequency (%)
	4886	99.2%
	41	0.8%

Close Punctuation

Value	Count	Frequency (%)
)	250	98.8%
]	3	1.2%

Modifier Symbol

Value	Count	Frequency (%)
´	3	75.0%
`	1	25.0%

Initial Punctuation

Value	Count	Frequency (%)
“	17	100.0%

Final Punctuation

Value	Count	Frequency (%)
”	1	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	73	100.0%

Currency Symbol

Value	Count	Frequency (%)
€	3	100.0%

Format

Value	Count	Frequency (%)
	1	100.0%

Nonspacing Mark

Value	Count	Frequency (%)
̈	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	151016	73.5%
Common	54420	26.5%
Inherited	2	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	21658	14.3%
i	11684	7.7%
r	11349	7.5%
t	11129	7.4%
n	10865	7.2%
s	8286	5.5%
a	7031	4.7%
o	5992	4.0%
l	5412	3.6%
h	5130	3.4%
Other values (51)	52480	34.8%

Common

Value	Count	Frequency (%)
	22421	41.2%
	4886	9.0%
.	3403	6.3%
:	2310	4.2%
-	2000	3.7%
0	1998	3.7%
2	1849	3.4%
1	1798	3.3%
9	1469	2.7%
	1434	2.6%
Other values (41)	10852	19.9%

Inherited

Value	Count	Frequency (%)
̈	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	202119	98.4%
Latin 1 Sup	3269	1.6%
Punctuation	43	< 0.1%
Currency Symbols	3	< 0.1%
None	2	< 0.1%
Diacriticals	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22421	11.1%
e	21658	10.7%
i	11684	5.8%
r	11349	5.6%
t	11129	5.5%
n	10865	5.4%
s	8286	4.1%
a	7031	3.5%
o	5992	3.0%
l	5412	2.7%
Other values (80)	86292	42.7%

Latin 1 Sup

Value	Count	Frequency (%)
	1434	43.9%
ä	684	20.9%
ü	604	18.5%
ß	273	8.4%
ö	139	4.3%
§	89	2.7%
Ö	20	0.6%
Ü	6	0.2%
©	5	0.2%
é	5	0.2%
Other values (5)	10	0.3%

Punctuation

Value	Count	Frequency (%)
„	21	48.8%
“	17	39.5%
–	3	7.0%
”	1	2.3%
	1	2.3%

Currency Symbols

Value	Count	Frequency (%)
€	3	100.0%

None

Value	Count	Frequency (%)
	2	100.0%

Diacriticals

Value	Count	Frequency (%)
̈	2	100.0%

seller business name
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	546
Distinct (%)	100.0%
Missing	56
Missing (%)	9.3%
Memory size	4.8 KiB

Business Name:Harman Digital Ltd	1
Business Name:Stephan Sopper	1
Business Name:Pauli-Parts	1
Business Name:VOSS GmbH & Co. KG	1
Business Name:VOLTIAMO PAGINA DI RUSCINO EMANUELE	1
Other values (541)	541

Length

Max length	69
Median length	32
Mean length	34.36080586
Min length	19

Characters and Unicode

Total characters	18761
Distinct characters	83
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	546 ?
Unique (%)	100.0%

Sample

1st row	Business Name:Lohas Living Inc
2nd row	Business Name:1a-Handelsagentur
3rd row	Business Name:Oliver Mills
4th row	Business Name:ABC-Schnäppchenmarkt GmbH
5th row	Business Name:All Terrain Ireland

Common Values

Value	Count	Frequency (%)
Business Name:Harman Digital Ltd	1	0.2%
Business Name:Stephan Sopper	1	0.2%
Business Name:Pauli-Parts	1	0.2%
Business Name:VOSS GmbH & Co. KG	1	0.2%
Business Name:VOLTIAMO PAGINA DI RUSCINO EMANUELE	1	0.2%
Business Name:LUV Trading UG (haftungsbeschränkt)	1	0.2%
Business Name:TOYMATIC	1	0.2%
Business Name:Lights4fun Ltd	1	0.2%
Business Name:Vitego GmbH	1	0.2%
Business Name:VIP Plaza Japan Inc	1	0.2%
Other values (536)	536	89.0%
(Missing)	56	9.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
business	525	24.5%
gmbh	172	8.0%
	49	2.3%
ltd	30	1.4%
limited	25	1.2%
co	22	1.0%
kg	21	1.0%
ug	19	0.9%
vat	19	0.9%
und	17	0.8%
Other values (1060)	1243	58.0%

Most occurring characters

Value	Count	Frequency (%)
s	1920	10.2%
e	1894	10.1%
	1597	8.5%
a	1090	5.8%
n	1080	5.8%
i	1013	5.4%
m	867	4.6%
u	745	4.0%
N	621	3.3%
B	599	3.2%
Other values (73)	7335	39.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12099	64.5%
Uppercase Letter	3985	21.2%
Space Separator	1597	8.5%
Other Punctuation	748	4.0%
Decimal Number	217	1.2%
Dash Punctuation	80	0.4%
Open Punctuation	15	0.1%
Close Punctuation	15	0.1%
Math Symbol	3	< 0.1%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	1920	15.9%
e	1894	15.7%
a	1090	9.0%
n	1080	8.9%
i	1013	8.4%
m	867	7.2%
u	745	6.2%
r	557	4.6%
t	443	3.7%
o	380	3.1%
Other values (22)	2110	17.4%

Uppercase Letter

Value	Count	Frequency (%)
N	621	15.6%
B	599	15.0%
G	301	7.6%
H	249	6.2%
T	238	6.0%
L	196	4.9%
S	175	4.4%
A	166	4.2%
K	153	3.8%
E	145	3.6%
Other values (17)	1142	28.7%

Decimal Number

Value	Count	Frequency (%)
2	36	16.6%
0	27	12.4%
1	23	10.6%
4	23	10.6%
9	20	9.2%
3	19	8.8%
7	19	8.8%
8	18	8.3%
6	16	7.4%
5	16	7.4%

Other Punctuation

Value	Count	Frequency (%)
:	546	73.0%
.	127	17.0%
&	49	6.6%
,	22	2.9%
'	2	0.3%
/	1	0.1%
!	1	0.1%

Space Separator

Value	Count	Frequency (%)
	1597	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	80	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	15	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	15	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16084	85.7%
Common	2677	14.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	1920	11.9%
e	1894	11.8%
a	1090	6.8%
n	1080	6.7%
i	1013	6.3%
m	867	5.4%
u	745	4.6%
N	621	3.9%
B	599	3.7%
r	557	3.5%
Other values (49)	5698	35.4%

Common

Value	Count	Frequency (%)
	1597	59.7%
:	546	20.4%
.	127	4.7%
-	80	3.0%
&	49	1.8%
2	36	1.3%
0	27	1.0%
1	23	0.9%
4	23	0.9%
,	22	0.8%
Other values (14)	147	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18698	99.7%
Latin 1 Sup	63	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	1920	10.3%
e	1894	10.1%
	1597	8.5%
a	1090	5.8%
n	1080	5.8%
i	1013	5.4%
m	867	4.6%
u	745	4.0%
N	621	3.3%
B	599	3.2%
Other values (66)	7272	38.9%

Latin 1 Sup

Value	Count	Frequency (%)
ä	26	41.3%
ü	17	27.0%
ö	12	19.0%
ß	5	7.9%
á	1	1.6%
é	1	1.6%
Ö	1	1.6%

businessaddress
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	527
Distinct (%)	100.0%
Missing	75
Missing (%)	12.5%
Memory size	4.8 KiB

Rykestr. 47Berlin10405DE	1
unit 17,9/f towera,new mandarin plaza,no.14 science museum road,tsimshatsuikowloonhongkongHK	1
PRINTED GUITAR PICKS LTD UNIT 18D NUMBER ONE INDUSTRIAL ESTAmedomsley road workshopsconsettcounty durhamDH8 6SYGB	1
Blegistrasse 25BaarZG6340CH	1
104Tachbrook RoadFelthamLondonTW14 9NXGB	1
Other values (522)	522

Length

Max length	118
Median length	40
Mean length	43.51043643
Min length	21

Characters and Unicode

Total characters	22930
Distinct characters	88
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	527 ?
Unique (%)	100.0%

Sample

1st row	411 THEODORE FREMD AVESTE 206 SOUTHRyeNY10580-1410US
2nd row	1a HandelsagenturLindenallee 2MalchowMecklenburg17213DE
3rd row	Kaiserstr.12Borgholzhausen33829DE
4th row	Jösser Weg10Petershagen32469DE
5th row	WEXFORDGOREY46 MAIN STY25T2N4IE

Common Values

Value	Count	Frequency (%)
Rykestr. 47Berlin10405DE	1	0.2%
unit 17,9/f towera,new mandarin plaza,no.14 science museum road,tsimshatsuikowloonhongkongHK	1	0.2%
PRINTED GUITAR PICKS LTD UNIT 18D NUMBER ONE INDUSTRIAL ESTAmedomsley road workshopsconsettcounty durhamDH8 6SYGB	1	0.2%
Blegistrasse 25BaarZG6340CH	1	0.2%
104Tachbrook RoadFelthamLondonTW14 9NXGB	1	0.2%
Theemsweg 99SpijkenisseNederland3201LTNL	1	0.2%
Nippenburg15 + 16Schwieberdingen71701DE	1	0.2%
Neuer Weg 35 AGelnhausen63571DE	1	0.2%
Gundelsheimer Str 1414Theilenhofen91741DE	1	0.2%
ROOM 517 NEW CITY CENTRE2 LEI YUE MUN ROAD KWUN TONGKLHONG KONGHK	1	0.2%
Other values (517)	517	85.9%
(Missing)	75	12.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
str	23	1.3%
via	20	1.2%
am	18	1.0%
unit	15	0.9%
straße	14	0.8%
	13	0.7%
industrial	9	0.5%
de	8	0.5%
im	6	0.3%
der	6	0.3%
Other values (1470)	1606	92.4%

Most occurring characters

Value	Count	Frequency (%)
e	1937	8.4%
r	1345	5.9%
	1211	5.3%
n	1093	4.8%
a	1072	4.7%
s	839	3.7%
t	818	3.6%
i	710	3.1%
l	624	2.7%
E	614	2.7%
Other values (78)	12667	55.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12579	54.9%
Uppercase Letter	4986	21.7%
Decimal Number	3673	16.0%
Space Separator	1211	5.3%
Other Punctuation	252	1.1%
Dash Punctuation	202	0.9%
Open Punctuation	13	0.1%
Close Punctuation	13	0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1937	15.4%
r	1345	10.7%
n	1093	8.7%
a	1072	8.5%
s	839	6.7%
t	818	6.5%
i	710	5.6%
l	624	5.0%
o	582	4.6%
h	499	4.0%
Other values (26)	3060	24.3%

Uppercase Letter

Value	Count	Frequency (%)
E	614	12.3%
D	511	10.2%
S	394	7.9%
N	297	6.0%
A	287	5.8%
B	283	5.7%
R	273	5.5%
H	230	4.6%
L	228	4.6%
T	212	4.3%
Other values (19)	1657	33.2%

Decimal Number

Value	Count	Frequency (%)
1	565	15.4%
2	459	12.5%
0	395	10.8%
3	370	10.1%
4	369	10.0%
5	343	9.3%
6	311	8.5%
7	305	8.3%
9	296	8.1%
8	260	7.1%

Other Punctuation

Value	Count	Frequency (%)
.	160	63.5%
,	47	18.7%
/	29	11.5%
&	7	2.8%
'	6	2.4%
:	1	0.4%
，	1	0.4%
;	1	0.4%

Space Separator

Value	Count	Frequency (%)
	1211	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	202	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	13	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	13	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17565	76.6%
Common	5365	23.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1937	11.0%
r	1345	7.7%
n	1093	6.2%
a	1072	6.1%
s	839	4.8%
t	818	4.7%
i	710	4.0%
l	624	3.6%
E	614	3.5%
o	582	3.3%
Other values (55)	7931	45.2%

Common

Value	Count	Frequency (%)
	1211	22.6%
1	565	10.5%
2	459	8.6%
0	395	7.4%
3	370	6.9%
4	369	6.9%
5	343	6.4%
6	311	5.8%
7	305	5.7%
9	296	5.5%
Other values (13)	741	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22716	99.1%
Latin 1 Sup	212	0.9%
Latin Ext A	1	< 0.1%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1937	8.5%
r	1345	5.9%
	1211	5.3%
n	1093	4.8%
a	1072	4.7%
s	839	3.7%
t	818	3.6%
i	710	3.1%
l	624	2.7%
E	614	2.7%
Other values (64)	12453	54.8%

Latin 1 Sup

Value	Count	Frequency (%)
ß	90	42.5%
ü	54	25.5%
ö	39	18.4%
ä	14	6.6%
é	5	2.4%
í	2	0.9%
Ö	2	0.9%
à	2	0.9%
Ñ	1	0.5%
á	1	0.5%
Other values (2)	2	0.9%

Latin Ext A

Value	Count	Frequency (%)
ł	1	100.0%

None

Value	Count	Frequency (%)
，	1	100.0%

Count of seller brands
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	17
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.513289037

Minimum	0
Maximum	16
Zeros	125
Zeros (%)	20.8%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	14
Q3	15
95-th percentile	16
Maximum	16
Range	16
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	6.736593105
Coefficient of variation (CV)	0.7081245066
Kurtosis	-1.631026183
Mean	9.513289037
Median Absolute Deviation (MAD)	2
Skewness	-0.4509972373
Sum	5727
Variance	45.38168667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
15	135	22.4%
16	130	21.6%
0	125	20.8%
14	50	8.3%
1	32	5.3%
2	28	4.7%
13	21	3.5%
3	13	2.2%
4	12	2.0%
7	9	1.5%
Other values (7)	47	7.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	125	20.8%
1	32	5.3%
2	28	4.7%
3	13	2.2%
4	12	2.0%
5	7	1.2%
6	6	1.0%
7	9	1.5%
8	6	1.0%
9	8	1.3%

Value	Count	Frequency (%)
16	130	21.6%
15	135	22.4%
14	50	8.3%
13	21	3.5%
12	8	1.3%
11	4	0.7%
10	8	1.3%
9	8	1.3%
8	6	1.0%
7	9	1.5%

Max % of negative seller ratings - last 30 days
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	32
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.310631229

Minimum	0
Maximum	100
Zeros	416
Zeros (%)	69.1%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	29.95
Maximum	100
Range	100
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	14.62685698
Coefficient of variation (CV)	2.754259587
Kurtosis	23.23367523
Mean	5.310631229
Median Absolute Deviation (MAD)	0
Skewness	4.484084583
Sum	3197
Variance	213.944945
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
0	416	69.1%
2	15	2.5%
3	15	2.5%
5	13	2.2%
7	13	2.2%
50	12	2.0%
6	12	2.0%
11	11	1.8%
4	10	1.7%
25	9	1.5%
Other values (22)	76	12.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	416	69.1%
1	7	1.2%
2	15	2.5%
3	15	2.5%
4	10	1.7%
5	13	2.2%
6	12	2.0%
7	13	2.2%
8	8	1.3%
9	4	0.7%

Value	Count	Frequency (%)
100	8	1.3%
67	1	0.2%
50	12	2.0%
40	1	0.2%
33	8	1.3%
30	1	0.2%
29	1	0.2%
27	1	0.2%
25	9	1.5%
23	1	0.2%

Max % of negative seller ratings - last 90 days
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	35
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.735880399

Minimum	0
Maximum	100
Zeros	316
Zeros (%)	52.5%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	6
95-th percentile	25
Maximum	100
Range	100
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	12.61097197
Coefficient of variation (CV)	2.198611388
Kurtosis	27.83683675
Mean	5.735880399
Median Absolute Deviation (MAD)	0
Skewness	4.65486955
Sum	3453
Variance	159.0366139
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
0	316	52.5%
3	34	5.6%
4	29	4.8%
2	21	3.5%
5	20	3.3%
1	18	3.0%
8	15	2.5%
9	15	2.5%
6	14	2.3%
7	14	2.3%
Other values (25)	106	17.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	316	52.5%
1	18	3.0%
2	21	3.5%
3	34	5.6%
4	29	4.8%
5	20	3.3%
6	14	2.3%
7	14	2.3%
8	15	2.5%
9	15	2.5%

Value	Count	Frequency (%)
100	5	0.8%
75	1	0.2%
67	1	0.2%
56	1	0.2%
50	4	0.7%
40	2	0.3%
33	7	1.2%
31	1	0.2%
29	3	0.5%
27	1	0.2%

Max % of negative seller ratings - last 12 months
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	39
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.303986711

Minimum	0
Maximum	100
Zeros	178
Zeros (%)	29.6%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	8
95-th percentile	27
Maximum	100
Range	100
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	13.99924947
Coefficient of variation (CV)	1.916658672
Kurtosis	23.7255726
Mean	7.303986711
Median Absolute Deviation (MAD)	3
Skewness	4.409265484
Sum	4397
Variance	195.9789857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	178	29.6%
3	63	10.5%
2	48	8.0%
1	40	6.6%
4	38	6.3%
6	31	5.1%
5	25	4.2%
7	22	3.7%
8	18	3.0%
9	17	2.8%
Other values (29)	122	20.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	178	29.6%
1	40	6.6%
2	48	8.0%
3	63	10.5%
4	38	6.3%
5	25	4.2%
6	31	5.1%
7	22	3.7%
8	18	3.0%
9	17	2.8%

Value	Count	Frequency (%)
100	7	1.2%
91	1	0.2%
60	1	0.2%
54	1	0.2%
50	6	1.0%
45	1	0.2%
43	1	0.2%
42	1	0.2%
40	1	0.2%
33	8	1.3%

Hero Product 1 #ratings
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	390
Distinct (%)	64.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4110.5299

Minimum	0
Maximum	86856
Zeros	127
Zeros (%)	21.1%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5
median	456.5
Q3	2980.25
95-th percentile	19244
Maximum	86856
Range	86856
Interquartile range (IQR)	2975.25

Descriptive statistics

Standard deviation	10315.68045
Coefficient of variation (CV)	2.509574362
Kurtosis	24.77255006
Mean	4110.5299
Median Absolute Deviation (MAD)	456.5
Skewness	4.598684226
Sum	2474539
Variance	106413263.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	127	21.1%
1	11	1.8%
5	8	1.3%
3	5	0.8%
10	5	0.8%
18	3	0.5%
391	3	0.5%
40684	3	0.5%
18560	3	0.5%
51	3	0.5%
Other values (380)	431	71.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	127	21.1%
1	11	1.8%
2	3	0.5%
3	5	0.8%
4	2	0.3%
5	8	1.3%
6	3	0.5%
7	2	0.3%
8	1	0.2%
9	2	0.3%

Value	Count	Frequency (%)
86856	1	0.2%
77714	1	0.2%
71673	1	0.2%
71670	1	0.2%
66776	2	0.3%
60384	1	0.2%
51755	1	0.2%
47340	1	0.2%
47337	1	0.2%
40684	3	0.5%

Hero Product 2 #ratings
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	380
Distinct (%)	63.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2271.29402

Minimum	0
Maximum	70732
Zeros	136
Zeros (%)	22.6%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	225.5
Q3	1734
95-th percentile	10305
Maximum	70732
Range	70732
Interquartile range (IQR)	1732

Descriptive statistics

Standard deviation	6414.703705
Coefficient of variation (CV)	2.824250691
Kurtosis	49.67361132
Mean	2271.29402
Median Absolute Deviation (MAD)	225.5
Skewness	6.2975888
Sum	1367319
Variance	41148423.63
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	136	22.6%
1	11	1.8%
4	8	1.3%
2	5	0.8%
18	4	0.7%
6	4	0.7%
13	4	0.7%
21	4	0.7%
41	4	0.7%
101	4	0.7%
Other values (370)	418	69.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	136	22.6%
1	11	1.8%
2	5	0.8%
3	2	0.3%
4	8	1.3%
5	2	0.3%
6	4	0.7%
7	2	0.3%
8	2	0.3%
9	2	0.3%

Value	Count	Frequency (%)
70732	1	0.2%
58332	1	0.2%
57769	1	0.2%
51755	1	0.2%
37716	1	0.2%
35167	1	0.2%
32420	2	0.3%
30140	1	0.2%
20759	1	0.2%
19698	1	0.2%

Sample brand name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	486
Distinct (%)	80.7%
Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

Visit the tesa Store	8
Visit the TFA Dostmann Store	8
Unbekannt	7
Visit the Weber Store	6
Makita	6
Other values (481)	567

Length

Max length	45
Median length	10
Mean length	13.3255814
Min length	2

Characters and Unicode

Total characters	8022
Distinct characters	78
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	432 ?
Unique (%)	71.8%

Sample

1st row	Visit the YAMAZAKI Store
2nd row	Visit the tesa Store
3rd row	Strata
4th row	Unbekannt
5th row	Visit the TFA Dostmann Store

Common Values

Value	Count	Frequency (%)
Visit the tesa Store	8	1.3%
Visit the TFA Dostmann Store	8	1.3%
Unbekannt	7	1.2%
Visit the Weber Store	6	1.0%
Makita	6	1.0%
Visit the Technoline Store	5	0.8%
Neudorff	5	0.8%
Oregon	5	0.8%
(blank)	5	0.8%
Reisenthel	5	0.8%
Other values (476)	542	90.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	164	12.9%
store	163	12.8%
visit	161	12.6%
	8	0.6%
dostmann	8	0.6%
tfa	8	0.6%
tesa	8	0.6%
unbekannt	7	0.5%
home	7	0.5%
design	6	0.5%
Other values (604)	734	57.6%

Most occurring characters

Value	Count	Frequency (%)
e	804	10.0%
t	766	9.5%
	672	8.4%
i	613	7.6%
o	465	5.8%
r	435	5.4%
a	405	5.0%
s	358	4.5%
n	312	3.9%
S	273	3.4%
Other values (68)	2919	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5594	69.7%
Uppercase Letter	1661	20.7%
Space Separator	672	8.4%
Dash Punctuation	33	0.4%
Decimal Number	25	0.3%
Other Punctuation	24	0.3%
Open Punctuation	5	0.1%
Close Punctuation	5	0.1%
Other Symbol	2	< 0.1%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	804	14.4%
t	766	13.7%
i	613	11.0%
o	465	8.3%
r	435	7.8%
a	405	7.2%
s	358	6.4%
n	312	5.6%
h	245	4.4%
l	239	4.3%
Other values (20)	952	17.0%

Uppercase Letter

Value	Count	Frequency (%)
S	273	16.4%
V	219	13.2%
T	131	7.9%
A	86	5.2%
R	83	5.0%
M	80	4.8%
O	74	4.5%
P	73	4.4%
N	68	4.1%
W	61	3.7%
Other values (18)	513	30.9%

Decimal Number

Value	Count	Frequency (%)
0	5	20.0%
4	4	16.0%
6	4	16.0%
2	3	12.0%
3	3	12.0%
8	3	12.0%
7	1	4.0%
1	1	4.0%
5	1	4.0%

Other Punctuation

Value	Count	Frequency (%)
.	11	45.8%
&	4	16.7%
/	4	16.7%
'	4	16.7%
,	1	4.2%

Space Separator

Value	Count	Frequency (%)
	672	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	33	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Other Symbol

Value	Count	Frequency (%)
®	2	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7255	90.4%
Common	767	9.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	804	11.1%
t	766	10.6%
i	613	8.4%
o	465	6.4%
r	435	6.0%
a	405	5.6%
s	358	4.9%
n	312	4.3%
S	273	3.8%
h	245	3.4%
Other values (48)	2579	35.5%

Common

Value	Count	Frequency (%)
	672	87.6%
-	33	4.3%
.	11	1.4%
(	5	0.7%
)	5	0.7%
0	5	0.7%
&	4	0.5%
/	4	0.5%
'	4	0.5%
4	4	0.5%
Other values (10)	20	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8006	99.8%
Latin 1 Sup	16	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	804	10.0%
t	766	9.6%
	672	8.4%
i	613	7.7%
o	465	5.8%
r	435	5.4%
a	405	5.1%
s	358	4.5%
n	312	3.9%
S	273	3.4%
Other values (60)	2903	36.3%

Latin 1 Sup

Value	Count	Frequency (%)
ö	8	50.0%
®	2	12.5%
ä	1	6.2%
Ö	1	6.2%
Ü	1	6.2%
é	1	6.2%
´	1	6.2%
ü	1	6.2%

Sample Brand URL
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	493
Distinct (%)	81.9%
Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

https://www.amazon.de/-/en/stores/TFA+Dostmann+GmbH+%26+Co+KG/page/EAF5F066-D2DC-42AB-8D1D-9E5898BCA26D?ref_=ast_bln	8
https://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_bln	8
https://www.amazon.de/-/en/Makita/b/ref=bl_dp_s_web_3200602031?ie=UTF8&node=3200602031&field-lbr_brands_browse-bin=Makita	6
https://www.amazon.de/-/en/stores/Weber/page/97CDA426-21A5-4BA8-9E0F-AFDA8004B64D?ref_=ast_bln	6
https://www.amazon.de/-/en/stores/Tetra/page/DCE34886-C391-4ADB-953C-11124A982133?ref_=ast_bln	5
Other values (488)	569

Length

Max length	181
Median length	115
Mean length	114.7807309
Min length	7

Characters and Unicode

Total characters	69098
Distinct characters	74
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	440 ?
Unique (%)	73.1%

Sample

1st row	https://www.amazon.de/-/en/stores/YAMAZAKI/page/B9975298-FF1F-4EE2-BD7B-53AE47A44D8A?ref_=ast_bln
2nd row	https://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_bln
3rd row	https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=Strata
4th row	https://www.amazon.de/-/en/Unbekannt/b/ref=bl_dp_s_web_19533614031?ie=UTF8&node=19533614031&field-lbr_brands_browse-bin=Unbekannt
5th row	https://www.amazon.de/-/en/stores/TFA+Dostmann+GmbH+%26+Co+KG/page/EAF5F066-D2DC-42AB-8D1D-9E5898BCA26D?ref_=ast_bln

Common Values

Value	Count	Frequency (%)
https://www.amazon.de/-/en/stores/TFA+Dostmann+GmbH+%26+Co+KG/page/EAF5F066-D2DC-42AB-8D1D-9E5898BCA26D?ref_=ast_bln	8	1.3%
https://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_bln	8	1.3%
https://www.amazon.de/-/en/Makita/b/ref=bl_dp_s_web_3200602031?ie=UTF8&node=3200602031&field-lbr_brands_browse-bin=Makita	6	1.0%
https://www.amazon.de/-/en/stores/Weber/page/97CDA426-21A5-4BA8-9E0F-AFDA8004B64D?ref_=ast_bln	6	1.0%
https://www.amazon.de/-/en/stores/Tetra/page/DCE34886-C391-4ADB-953C-11124A982133?ref_=ast_bln	5	0.8%
https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=Neudorff	5	0.8%
https://www.amazon.de/-/en/Unbekannt/b/ref=bl_dp_s_web_19533614031?ie=UTF8&node=19533614031&field-lbr_brands_browse-bin=Unbekannt	5	0.8%
(blank)	5	0.8%
https://www.amazon.de/-/en/stores/technoline/page/1BB6DB7A-30C4-4E27-87B2-2A680DAD187B?ref_=ast_bln	5	0.8%
https://www.amazon.de/-/en/Oregon/b/ref=bl_dp_s_web_1691497031?ie=UTF8&node=1691497031&field-lbr_brands_browse-bin=Oregon	4	0.7%
Other values (483)	545	90.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.amazon.de/-/en/stores/tfa+dostmann+gmbh+%26+co+kg/page/eaf5f066-d2dc-42ab-8d1d-9e5898bca26d?ref_=ast_bln	8	1.3%
https://www.amazon.de/-/en/stores/tesa/page/12e699e9-fa20-4bc9-a12b-8a9cde0c446c?ref_=ast_bln	8	1.3%
https://www.amazon.de/-/en/stores/weber/page/97cda426-21a5-4ba8-9e0f-afda8004b64d?ref_=ast_bln	6	1.0%
https://www.amazon.de/-/en/makita/b/ref=bl_dp_s_web_3200602031?ie=utf8&node=3200602031&field-lbr_brands_browse-bin=makita	6	1.0%
https://www.amazon.de/-/en/unbekannt/b/ref=bl_dp_s_web_19533614031?ie=utf8&node=19533614031&field-lbr_brands_browse-bin=unbekannt	5	0.8%
https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=utf8&search-type=ss&index=garden-de&field-keywords=neudorff	5	0.8%
https://www.amazon.de/-/en/stores/technoline/page/1bb6db7a-30c4-4e27-87b2-2a680dad187b?ref_=ast_bln	5	0.8%
blank	5	0.8%
https://www.amazon.de/-/en/stores/tetra/page/dce34886-c391-4adb-953c-11124a982133?ref_=ast_bln	5	0.8%
https://www.amazon.de/-/en/stores/petromax/page/596bec72-cceb-44ec-9c41-dad254b2a788?ref_=ast_bln	4	0.7%
Other values (483)	545	90.5%

Most occurring characters

Value	Count	Frequency (%)
e	5673	8.2%
/	4136	6.0%
s	3234	4.7%
n	2897	4.2%
d	2754	4.0%
w	2709	3.9%
a	2697	3.9%
_	2583	3.7%
b	2429	3.5%
r	2418	3.5%
Other values (64)	37568	54.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39349	56.9%
Decimal Number	9379	13.6%
Other Punctuation	7675	11.1%
Uppercase Letter	5350	7.7%
Connector Punctuation	2583	3.7%
Math Symbol	2383	3.4%
Dash Punctuation	2369	3.4%
Open Punctuation	5	< 0.1%
Close Punctuation	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5673	14.4%
s	3234	8.2%
n	2897	7.4%
d	2754	7.0%
w	2709	6.9%
a	2697	6.9%
b	2429	6.2%
r	2418	6.1%
t	2174	5.5%
o	1918	4.9%
Other values (16)	10446	26.5%

Uppercase Letter

Value	Count	Frequency (%)
F	779	14.6%
T	628	11.7%
A	524	9.8%
U	477	8.9%
C	440	8.2%
B	423	7.9%
E	370	6.9%
D	344	6.4%
S	180	3.4%
M	121	2.3%
Other values (16)	1064	19.9%

Decimal Number

Value	Count	Frequency (%)
1	1430	15.2%
0	1337	14.3%
8	1180	12.6%
3	1163	12.4%
4	825	8.8%
9	785	8.4%
6	720	7.7%
2	701	7.5%
7	643	6.9%
5	595	6.3%

Other Punctuation

Value	Count	Frequency (%)
/	4136	53.9%
.	1210	15.8%
&	1039	13.5%
:	597	7.8%
?	597	7.8%
%	96	1.3%

Math Symbol

Value	Count	Frequency (%)
=	2072	86.9%
+	311	13.1%

Dash Punctuation

Value	Count	Frequency (%)
-	2369	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2583	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44699	64.7%
Common	24399	35.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5673	12.7%
s	3234	7.2%
n	2897	6.5%
d	2754	6.2%
w	2709	6.1%
a	2697	6.0%
b	2429	5.4%
r	2418	5.4%
t	2174	4.9%
o	1918	4.3%
Other values (42)	15796	35.3%

Common

Value	Count	Frequency (%)
/	4136	17.0%
_	2583	10.6%
-	2369	9.7%
=	2072	8.5%
1	1430	5.9%
0	1337	5.5%
.	1210	5.0%
8	1180	4.8%
3	1163	4.8%
&	1039	4.3%
Other values (12)	5880	24.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	69098	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5673	8.2%
/	4136	6.0%
s	3234	4.7%
n	2897	4.2%
d	2754	4.0%
w	2709	3.9%
a	2697	3.9%
_	2583	3.7%
b	2429	3.5%
r	2418	3.5%
Other values (64)	37568	54.4%

country_code
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	20
Distinct (%)	3.8%
Missing	75
Missing (%)	12.5%
Memory size	4.8 KiB

DE	364
GB	47
IT	25
ES	15
US	14
Other values (15)	62

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1054
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	1.1%

Sample

1st row	US
2nd row	DE
3rd row	DE
4th row	DE
5th row	IE

Common Values

Value	Count	Frequency (%)
DE	364	60.5%
GB	47	7.8%
IT	25	4.2%
ES	15	2.5%
US	14	2.3%
NL	12	2.0%
FR	11	1.8%
HK	10	1.7%
AT	8	1.3%
PL	5	0.8%
Other values (10)	16	2.7%
(Missing)	75	12.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	364	69.1%
gb	47	8.9%
it	25	4.7%
es	15	2.8%
us	14	2.7%
nl	12	2.3%
fr	11	2.1%
hk	10	1.9%
at	8	1.5%
pl	5	0.9%
Other values (10)	16	3.0%

Most occurring characters

Value	Count	Frequency (%)
E	383	36.3%
D	364	34.5%
B	48	4.6%
G	47	4.5%
T	35	3.3%
I	31	2.9%
S	30	2.8%
L	17	1.6%
N	16	1.5%
U	15	1.4%
Other values (9)	68	6.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1054	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	383	36.3%
D	364	34.5%
B	48	4.6%
G	47	4.5%
T	35	3.3%
I	31	2.9%
S	30	2.8%
L	17	1.6%
N	16	1.5%
U	15	1.4%
Other values (9)	68	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1054	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	383	36.3%
D	364	34.5%
B	48	4.6%
G	47	4.5%
T	35	3.3%
I	31	2.9%
S	30	2.8%
L	17	1.6%
N	16	1.5%
U	15	1.4%
Other values (9)	68	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1054	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	383	36.3%
D	364	34.5%
B	48	4.6%
G	47	4.5%
T	35	3.3%
I	31	2.9%
S	30	2.8%
L	17	1.6%
N	16	1.5%
U	15	1.4%
Other values (9)	68	6.5%

seller_count
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	235
Distinct (%)	48.9%
Missing	121
Missing (%)	20.1%
Infinite	0
Infinite (%)	0.0%
Mean	6538.110187

Minimum	3
Maximum	200000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	3
5-th percentile	36
Q1	257
median	898
Q3	3000
95-th percentile	40000
Maximum	200000
Range	199997
Interquartile range (IQR)	2743

Descriptive statistics

Standard deviation	18662.72529
Coefficient of variation (CV)	2.85445255
Kurtosis	34.23370249
Mean	6538.110187
Median Absolute Deviation (MAD)	805
Skewness	5.163668195
Sum	3144831
Variance	348297315.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	50	8.3%
2000	38	6.3%
3000	26	4.3%
10000	24	4.0%
4000	12	2.0%
5000	11	1.8%
8000	9	1.5%
6000	8	1.3%
100000	8	1.3%
30000	8	1.3%
Other values (225)	287	47.7%
(Missing)	121	20.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	1	0.2%
4	1	0.2%
5	1	0.2%
8	1	0.2%
9	1	0.2%
12	1	0.2%
15	1	0.2%
16	1	0.2%
17	1	0.2%
20	1	0.2%

Value	Count	Frequency (%)
200000	1	0.2%
100000	8	1.3%
80000	2	0.3%
70000	1	0.2%
60000	3	0.5%
50000	6	1.0%
40000	6	1.0%
30000	8	1.3%
20000	7	1.2%
10000	24	4.0%

seller_positive_rating_percentage
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	47
Distinct (%)	8.4%
Missing	43
Missing (%)	7.1%
Infinite	0
Infinite (%)	0.0%
Mean	90.26654741

Minimum	0
Maximum	100
Zeros	5
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	0
5-th percentile	67
Q1	89
median	94
Q3	98
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	14.25819795
Coefficient of variation (CV)	0.1579566113
Kurtosis	17.32966373
Mean	90.26654741
Median Absolute Deviation (MAD)	4
Skewness	-3.699336591
Sum	50459
Variance	203.2962087
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
100	82	13.6%
97	52	8.6%
96	44	7.3%
98	40	6.6%
94	38	6.3%
95	35	5.8%
99	26	4.3%
92	24	4.0%
90	24	4.0%
91	22	3.7%
Other values (37)	172	28.6%
(Missing)	43	7.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5	0.8%
9	1	0.2%
25	1	0.2%
33	2	0.3%
40	1	0.2%
41	1	0.2%
42	1	0.2%
43	1	0.2%
44	1	0.2%
50	3	0.5%

Value	Count	Frequency (%)
100	82	13.6%
99	26	4.3%
98	40	6.6%
97	52	8.6%
96	44	7.3%
95	35	5.8%
94	38	6.3%
93	20	3.3%
92	24	4.0%
91	22	3.7%

seller_positive_rating_count
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	305
Distinct (%)	54.6%
Missing	43
Missing (%)	7.1%
Infinite	0
Infinite (%)	0.0%
Mean	462.5152057

Minimum	1
Maximum	37124
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.8 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	21
median	82
Q3	280
95-th percentile	1839.9
Maximum	37124
Range	37123
Interquartile range (IQR)	259

Descriptive statistics

Standard deviation	1824.115487
Coefficient of variation (CV)	3.943903821
Kurtosis	294.650359
Mean	462.5152057
Median Absolute Deviation (MAD)	71
Skewness	15.24567215
Sum	258546
Variance	3327397.311
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	15	2.5%
1	13	2.2%
11	13	2.2%
16	10	1.7%
2	9	1.5%
15	8	1.3%
19	8	1.3%
4	8	1.3%
3	7	1.2%
28	7	1.2%
Other values (295)	461	76.6%
(Missing)	43	7.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	13	2.2%
2	9	1.5%
3	7	1.2%
4	8	1.3%
5	4	0.7%
6	4	0.7%
7	7	1.2%
8	2	0.3%
9	2	0.3%
10	15	2.5%

Value	Count	Frequency (%)
37124	1	0.2%
8063	1	0.2%
7465	1	0.2%
7242	1	0.2%
6204	1	0.2%
6086	1	0.2%
5826	1	0.2%
5150	1	0.2%
4919	1	0.2%
4204	1	0.2%

seller_email_address
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

seller_email_address1
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	144
Distinct (%)	99.3%
Missing	457
Missing (%)	75.9%
Memory size	4.8 KiB

ku.de	2
info@kaiser24.shop	1
info@lemodo.de	1
info@zoo-bue-pet.de	1
info@lotharjohn.de	1
Other values (139)	139

Length

Max length	40
Median length	19
Mean length	18.82758621
Min length	3

Characters and Unicode

Total characters	2730
Distinct characters	46
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	143 ?
Unique (%)	98.6%

Sample

1st row	jadgemaello@gmail.com
2nd row	info@1a-ha.de
3rd row	info@itenga.de
4th row	nils.holm@zierleyn.de
5th row	info@kabel-licht.de

Common Values

Value	Count	Frequency (%)
ku.de	2	0.3%
info@kaiser24.shop	1	0.2%
info@lemodo.de	1	0.2%
info@zoo-bue-pet.de	1	0.2%
info@lotharjohn.de	1	0.2%
service@living-zone.de	1	0.2%
info@leotie.de	1	0.2%
online@tooler.de	1	0.2%
info@trendy-home.de	1	0.2%
info@tozi-spall.de	1	0.2%
Other values (134)	134	22.3%
(Missing)	457	75.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ku.de	2	1.4%
kathrin@salzlampe.de	1	0.7%
info@vronis-ki.de	1	0.7%
info@wasserflora.de	1	0.7%
info@sl-ha.de	1	0.7%
info@lemodo.de	1	0.7%
info@zoo-bue-pet.de	1	0.7%
info@lotharjohn.de	1	0.7%
service@living-zone.de	1	0.7%
info@leotie.de	1	0.7%
Other values (134)	134	92.4%

Most occurring characters

Value	Count	Frequency (%)
e	299	11.0%
o	235	8.6%
n	186	6.8%
i	177	6.5%
a	176	6.4%
.	160	5.9%
d	149	5.5%
@	135	4.9%
t	119	4.4%
r	108	4.0%
Other values (36)	986	36.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2319	84.9%
Other Punctuation	296	10.8%
Dash Punctuation	60	2.2%
Decimal Number	44	1.6%
Uppercase Letter	11	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	299	12.9%
o	235	10.1%
n	186	8.0%
i	177	7.6%
a	176	7.6%
d	149	6.4%
t	119	5.1%
r	108	4.7%
s	100	4.3%
f	98	4.2%
Other values (16)	672	29.0%

Decimal Number

Value	Count	Frequency (%)
2	13	29.5%
4	9	20.5%
7	8	18.2%
0	4	9.1%
1	3	6.8%
6	2	4.5%
3	2	4.5%
8	1	2.3%
9	1	2.3%
5	1	2.3%

Uppercase Letter

Value	Count	Frequency (%)
K	3	27.3%
I	3	27.3%
S	2	18.2%
G	1	9.1%
L	1	9.1%
T	1	9.1%

Other Punctuation

Value	Count	Frequency (%)
.	160	54.1%
@	135	45.6%
/	1	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	60	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2330	85.3%
Common	400	14.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	299	12.8%
o	235	10.1%
n	186	8.0%
i	177	7.6%
a	176	7.6%
d	149	6.4%
t	119	5.1%
r	108	4.6%
s	100	4.3%
f	98	4.2%
Other values (22)	683	29.3%

Common

Value	Count	Frequency (%)
.	160	40.0%
@	135	33.8%
-	60	15.0%
2	13	3.2%
4	9	2.2%
7	8	2.0%
0	4	1.0%
1	3	0.8%
6	2	0.5%
3	2	0.5%
Other values (4)	4	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	299	11.0%
o	235	8.6%
n	186	6.8%
i	177	6.5%
a	176	6.4%
.	160	5.9%
d	149	5.5%
@	135	4.9%
t	119	4.4%
r	108	4.0%
Other values (36)	986	36.1%

seller_email_address2
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	6
Distinct (%)	100.0%
Missing	596
Missing (%)	99.0%
Memory size	4.8 KiB

info@1a-ha.de	1
amazon@werkzeug-direkt.com	1
info@klaraseats.com	1
datenschutz@leuchtenzentrale.de	1
info@zurrosakuh.de	1

Length

Max length	31
Median length	22
Mean length	22
Min length	13

Characters and Unicode

Total characters	132
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	100.0%

Sample

1st row	info@1a-ha.de
2nd row	info@klaraseats.com
3rd row	datenschutz@leuchtenzentrale.de
4th row	amazon@werkzeug-direkt.com
5th row	info@zurrosakuh.de

Common Values

Value	Count	Frequency (%)
info@1a-ha.de	1	0.2%
amazon@werkzeug-direkt.com	1	0.2%
info@klaraseats.com	1	0.2%
datenschutz@leuchtenzentrale.de	1	0.2%
info@zurrosakuh.de	1	0.2%
r.joormann@googlemail.com	1	0.2%
(Missing)	596	99.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
datenschutz@leuchtenzentrale.de	1	16.7%
info@1a-ha.de	1	16.7%
info@zurrosakuh.de	1	16.7%
info@klaraseats.com	1	16.7%
amazon@werkzeug-direkt.com	1	16.7%
r.joormann@googlemail.com	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
e	13	9.8%
o	12	9.1%
a	12	9.1%
n	9	6.8%
r	8	6.1%
.	7	5.3%
@	6	4.5%
t	6	4.5%
m	6	4.5%
i	5	3.8%
Other values (14)	48	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	116	87.9%
Other Punctuation	13	9.8%
Dash Punctuation	2	1.5%
Decimal Number	1	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	13	11.2%
o	12	10.3%
a	12	10.3%
n	9	7.8%
r	8	6.9%
t	6	5.2%
m	6	5.2%
i	5	4.3%
d	5	4.3%
l	5	4.3%
Other values (10)	35	30.2%

Other Punctuation

Value	Count	Frequency (%)
.	7	53.8%
@	6	46.2%

Decimal Number

Value	Count	Frequency (%)
1	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	116	87.9%
Common	16	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	13	11.2%
o	12	10.3%
a	12	10.3%
n	9	7.8%
r	8	6.9%
t	6	5.2%
m	6	5.2%
i	5	4.3%
d	5	4.3%
l	5	4.3%
Other values (10)	35	30.2%

Common

Value	Count	Frequency (%)
.	7	43.8%
@	6	37.5%
-	2	12.5%
1	1	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	13	9.8%
o	12	9.1%
a	12	9.1%
n	9	6.8%
r	8	6.1%
.	7	5.3%
@	6	4.5%
t	6	4.5%
m	6	4.5%
i	5	3.8%
Other values (14)	48	36.4%

seller_phone_number
Categorical

HIGH CARDINALITY

Distinct	350
Distinct (%)	58.1%
Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

[]	228
nan	26
["r. 9-n -n -n 84558", "Telefon:-n 08623 - 98728015", ":-n 08623 - 98728011", "r. 524/2013", " 15.02.2016"]	1
["r. 5-n 89290", "Telefon: 07343 919260", ": 07343 919259", " 209142648", " 18.12.2015"]	1
[" 28-n-n52222", "20195", "306202046"]	1
Other values (345)	345

Length

Max length	146
Median length	51
Mean length	43.78903654
Min length	2

Characters and Unicode

Total characters	26361
Distinct characters	37
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	348 ?
Unique (%)	57.8%

Sample

1st row	[" 10022-6630", " +1208-964-6807", " 10022-6630", " +1208-964-6807", ":30-0961431"]
2nd row	["er 039932-829721", "llee 2-n17213", "Tel.: 039932 - 829721", ".: 039932 – 81417", " 223758473"]
3rd row	[]
4th row	["e 26-n 33829", "Telefon: 015140008562", "215752000", "01.08.2015"]
5th row	[" 10-n 32469", "Tel.: 0570591155", ": 0570591156", " 10862", " 213823102"]

Common Values

Value	Count	Frequency (%)
[]	228	37.9%
nan	26	4.3%
["r. 9-n -n -n 84558", "Telefon:-n 08623 - 98728015", ":-n 08623 - 98728011", "r. 524/2013", " 15.02.2016"]	1	0.2%
["r. 5-n 89290", "Telefon: 07343 919260", ": 07343 919259", " 209142648", " 18.12.2015"]	1	0.2%
[" 28-n-n52222", "20195", "306202046"]	1	0.2%
["r. 123-n-n45881", "Tel.: 0163 / 500 21 44", "221453557"]	1	0.2%
[" 9-n 84555", "Telefon: 08638982790", ": 086389827919", "259391487", " 84555"]	1	0.2%
["19716804", " 99415", "Telefon:02749/8628", ":02749/8725"]	1	0.2%
["r. 2-n 84543", "Telefon: 08671 3361", "251275671", " 27.07.2015"]	1	0.2%
["en-n0711 - 222 49 32 44"]	1	0.2%
Other values (340)	340	56.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	900	23.5%
telefon	193	5.0%
r	112	2.9%
49	93	2.4%
tel	80	2.1%
e	74	1.9%
n	44	1.1%
0	41	1.1%
nan	26	0.7%
euernummer	17	0.4%
Other values (1792)	2254	58.8%

Most occurring characters

Value	Count	Frequency (%)
	3307	12.5%
"	2940	11.2%
0	1779	6.7%
2	1632	6.2%
1	1590	6.0%
9	1398	5.3%
4	1270	4.8%
3	1263	4.8%
5	1135	4.3%
,	1122	4.3%
Other values (27)	8925	33.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	13267	50.3%
Other Punctuation	5063	19.2%
Space Separator	3307	12.5%
Lowercase Letter	2429	9.2%
Close Punctuation	656	2.5%
Open Punctuation	652	2.5%
Dash Punctuation	560	2.1%
Uppercase Letter	306	1.2%
Math Symbol	121	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	693	28.5%
n	634	26.1%
l	329	13.5%
o	223	9.2%
f	219	9.0%
r	186	7.7%
m	52	2.1%
u	47	1.9%
a	26	1.1%
h	17	0.7%

Decimal Number

Value	Count	Frequency (%)
0	1779	13.4%
2	1632	12.3%
1	1590	12.0%
9	1398	10.5%
4	1270	9.6%
3	1263	9.5%
5	1135	8.6%
7	1100	8.3%
6	1058	8.0%
8	1042	7.9%

Other Punctuation

Value	Count	Frequency (%)
"	2940	58.1%
,	1122	22.2%
:	529	10.4%
.	289	5.7%
/	183	3.6%

Open Punctuation

Value	Count	Frequency (%)
[	576	88.3%
(	76	11.7%

Dash Punctuation

Value	Count	Frequency (%)
-	557	99.5%
–	3	0.5%

Math Symbol

Value	Count	Frequency (%)
+	120	99.2%
\|	1	0.8%

Close Punctuation

Value	Count	Frequency (%)
]	576	87.8%
)	80	12.2%

Uppercase Letter

Value	Count	Frequency (%)
T	304	99.3%
P	2	0.7%

Space Separator

Value	Count	Frequency (%)
	3307	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	23626	89.6%
Latin	2735	10.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
	3307	14.0%
"	2940	12.4%
0	1779	7.5%
2	1632	6.9%
1	1590	6.7%
9	1398	5.9%
4	1270	5.4%
3	1263	5.3%
5	1135	4.8%
,	1122	4.7%
Other values (14)	6190	26.2%

Latin

Value	Count	Frequency (%)
e	693	25.3%
n	634	23.2%
l	329	12.0%
T	304	11.1%
o	223	8.2%
f	219	8.0%
r	186	6.8%
m	52	1.9%
u	47	1.7%
a	26	1.0%
Other values (3)	22	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26358	> 99.9%
Punctuation	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3307	12.5%
"	2940	11.2%
0	1779	6.7%
2	1632	6.2%
1	1590	6.0%
9	1398	5.3%
4	1270	4.8%
3	1263	4.8%
5	1135	4.3%
,	1122	4.3%
Other values (26)	8922	33.8%

Punctuation

Value	Count	Frequency (%)
–	3	100.0%

days_when_seller_added
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	4.8 KiB

223	602

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1806
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	223
2nd row	223
3rd row	223
4th row	223
5th row	223

Common Values

Value	Count	Frequency (%)
223	602	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
223	602	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	1204	66.7%
3	602	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1806	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	1204	66.7%
3	602	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1806	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	1204	66.7%
3	602	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1806	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	1204	66.7%
3	602	33.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	Date Added	category	sellerlink	sellerlink-url	sellerstorefront-url	sellerproductcount	sellerratings	sellerdetails	seller business name	businessaddress	Count of seller brands	Max % of negative seller ratings - last 30 days	Max % of negative seller ratings - last 90 days	Max % of negative seller ratings - last 12 months	Hero Product 1 #ratings	Hero Product 2 #ratings	Sample brand name	Sample Brand URL	country_code	seller_count	seller_positive_rating_percentage	seller_positive_rating_count	seller_email_address	seller_email_address1	seller_email_address2	seller_phone_number	days_when_seller_added
0	0	2020-11-15	Garden	Seller 1	Seller 1-link	Seller 1-storefrontlink	1-16 of over 100,000 results	88% positive in the last 12 months (118 ratings)	Lohas Living Inc James Mazzello US 845 3RD Ave Fl 6 New York NY 10022-6630 +1208-964-6807 Email Address:jadgemaello@gmail.com James Mazzello US 845 3RD Ave Fl 6 New York NY 10022-6630 +1208-964-6807 EIN: 30-0961431 \nThe European Commission provides for an Online Dispute Resolution Platform, which you can access here: https://ec.europa.eu/consumers/odr/\n\nPlease see the following link for the nationally appointed Alternative Dispute Resolution bodies contact details: https://webgate.ec.europa.eu/od...	Business Name:Lohas Living Inc	411 THEODORE FREMD AVESTE 206 SOUTHRyeNY10580-1410US	16	17	11	12	5873	4957	Visit the YAMAZAKI Store	https://www.amazon.de/-/en/stores/YAMAZAKI/page/B9975298-FF1F-4EE2-BD7B-53AE47A44D8A?ref_=ast_bln	US	100000.0	88.0	118.0	[Address:jadgemaello@gmail.com]	jadgemaello@gmail.com	None	[" 10022-6630", " +1208-964-6807", " 10022-6630", " +1208-964-6807", ":30-0961431"]	223
1	1	2020-11-15	Garden	Seller 2	Seller 2-link	Seller 2-storefrontlink	NaN	90% positive in the last 12 months (566 ratings)	Herzlich Willkommen im Amazon Shop von 1a-Handelsagentur. Für Fragen stehen wir Ihnen gerne unter der 039932-829721 zur Verfügung. Sie können auch direkt eine E-Mail an info@1a-handelsagentur.de schreiben. Anschrift\n1a-handelsagentur.de\nAndre Burmeister\nLindenallee 2\n17213 Malchow Kontakt\nTel.: 039932 - 829721 \nFax.: 039932 – 81417 \nE-Mail: info@1a-handelsagentur.de\nInternet: www.1a-handelsagentur.de\n\nUmsatzsteueridentnummer: DE 223758473 \nWir berechnen Ihnen folgende Versandkosten:(DE) Deutschland 0,00 E...	Business Name:1a-Handelsagentur	1a HandelsagenturLindenallee 2MalchowMecklenburg17213DE	0	2	2	9	0	0	Visit the tesa Store	https://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_bln	DE	NaN	90.0	566.0	[info@1a-handelsagentur.de, info@1a-handelsagentur.de]	info@1a-ha.de	info@1a-ha.de	["er 039932-829721", "llee 2-n17213", "Tel.: 039932 - 829721", ".: 039932 – 81417", " 223758473"]	223
2	5	2020-11-15	Garden	Seller 6	Seller 6-link	Seller 6-storefrontlink	1-16 of 28 results	NaN	7830jeff is committed to providing each customer with the highest standard of customer service.	NaN	NaN	13	0	0	0	3284	2944	Strata	https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=Strata	NaN	28.0	NaN	NaN	[]	None	None	[]	223
3	14	2020-11-15	Garden	Seller 15	Seller 15-link	Seller 15-storefrontlink	1-16 of 919 results	97% positive in the last 12 months (116 ratings)	Impressum\n \n Gesetzliche Anbieterkennung:\n \n Oliver Mills\n 9:PM\n An der Bundesstrasse 26\n 33829 Borgholzhausen\n Deutschland\n Telefon: 015140008562\n E-Mail: webmaster@9pm-store.de\n USt-IdNr.: DE215752000\n \n Wir sind seit 01.08.2015 Mitglied der Initiative "FairCommerce".\n Nähere Informationen hierzu finden Sie unter .fair-commerce.de. Alternative Streitbeilegung: \nDie Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/\n\nUnter diesem L...	Business Name:Oliver Mills	Kaiserstr.12Borgholzhausen33829DE	15	0	0	3	1446	921	Unbekannt	https://www.amazon.de/-/en/Unbekannt/b/ref=bl_dp_s_web_19533614031?ie=UTF8&node=19533614031&field-lbr_brands_browse-bin=Unbekannt	DE	919.0	97.0	116.0	[webmaster@9pm-store.de]	None	None	["e 26-n 33829", "Telefon: 015140008562", "215752000", "01.08.2015"]	223
4	19	2020-11-15	Garden	Seller 20	Seller 20-link	Seller 20-storefrontlink	NaN	76% positive in the last 12 months (3721 ratings)	Impressum: ABC-Schnäppchenmarkt GmbH \n Jösser Weg 10\n 32469 Petershagen-Windheim\n Deutschland \n \n Tel.: 0570591155\n Fax: 0570591156\n E-Mail: abc-markt@web.de \n \n Registergericht: Amtsgericht Bad Oeynhausen \n Registernummer: HRB 10862 \n \n Geschäftsführer: Thomas Wiebke \n \n Umsatzsteuer-Identifikationsnummer gemäß § 27 a Umsatzsteuergesetz: DE 213823102 Den anklickbaren Link zur Plattform der EU-Kommission zur Online Streitbeilegung erreichen Sie, indem Sie auf den Nachfolgenden Punkt "Mehr lesen" klicken Wir...	Business Name:ABC-Schnäppchenmarkt GmbH	Jösser Weg10Petershagen32469DE	0	18	20	20	0	0	Visit the TFA Dostmann Store	https://www.amazon.de/-/en/stores/TFA+Dostmann+GmbH+%26+Co+KG/page/EAF5F066-D2DC-42AB-8D1D-9E5898BCA26D?ref_=ast_bln	DE	NaN	76.0	3721.0	[abc-markt@web.de]	info@itenga.de	None	[" 10-n 32469", "Tel.: 0570591155", ": 0570591156", " 10862", " 213823102"]	223
5	20	2020-11-15	Garden	Seller 21	Seller 21-link	Seller 21-storefrontlink	1-16 of 123 results	NaN	AllSparesEire is committed to providing each customer with the highest standard of customer service.	Business Name:All Terrain Ireland	WEXFORDGOREY46 MAIN STY25T2N4IE	14	0	0	0	837	787	Mountfield Outdoor Spares	https://www.amazon.de/-/en/Mountfield-Outdoor-Spares/b/ref=bl_dp_s_web_9440109031?ie=UTF8&node=9440109031&field-lbr_brands_browse-bin=Mountfield+Outdoor+Spares	IE	123.0	NaN	NaN	[]	nils.holm@zierleyn.de	None	[]	223
6	21	2020-11-15	Garden	Seller 22	Seller 22-link	Seller 22-storefrontlink	NaN	92% positive in the last 12 months (181 ratings)	Firmenwortlaut: GURU2016GmbH\n Geschäftsführung: Stefan Schnidar, MSc.\n Firmenanschrift:Packer Hauptstraße 8\n A-8582 Rosental an der Kainach\n \n eMail: (Support, Versand)support@bauguru.at\n Mo-Fr 08:00 Uhr -12:00 Uhr\n eMail: (Geschäftsführung)office@bauguru.at\n Web: bauguru.at\n \n Bankverbindung: Raiffeisenbank Lipizzanerheimat\n IBAN: AT78 3848 7000 0038 6060 BIC: RZSTAT2G487\n \n Geschäftszweig:Handelsgewerbe\n Zuständiges Gericht: Landesgericht Graz\n Firmenbuch: 466186v\n Registernummer: 586378\nUSt-Steuer-ID: AT...	Business Name:GURU 2016 GmbH	BAUGURU, GURU 2016 GmbHWarenannahme Vogl Baumarkt GmbHRosental an der KainachSteiermark8582AT	0	0	7	6	0	0	Visit the tesa Store	https://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_bln	AT	NaN	92.0	181.0	[Versand)support@bauguru.at, (Geschäftsführung)office@bauguru.at]	info@kabel-licht.de	None	["T78 3848 7000 0038 6060", "h:466186", "ernummer:586378"]	223
7	22	2020-11-15	Garden	Seller 23	Seller 23-link	Seller 23-storefrontlink	1-16 of over 40,000 results	100% positive in the last 12 months (10 ratings)	Bestof Floral is committed to providing each customer with the highest standard of customer service.	Business Name:MADEWELL SUPPLY INC	90 BROAD ST 2ND FLOORNEW YORKNY10004-2205US	16	0	0	0	10538	8293	Visit the Seville Classics Store	https://www.amazon.de/-/en/stores/Seville+Classics/page/E8D49E5C-1784-4FF1-A92A-C8B52AF7F532?ref_=ast_bln	US	40000.0	100.0	10.0	[]	info@kaiser24.shop	None	[]	223
8	23	2020-11-15	Garden	Seller 24	Seller 24-link	Seller 24-storefrontlink	1-16 of over 100,000 results	88% positive in the last 12 months (3134 ratings)	Blumenbecker Industriebedarf GmbH Sudhoferweg 99-107 59269 Beckum Geschäftsführer: Dipl. Kfm. Richard Mayer, Olaf Lingnau Handelsregister: Amtsgericht Münster HRB 7020 Ust-IdNr: DE 214 670 936 Telefon: 02521/8406-0 E-Mail: bib.beckum@blumenbecker.com \nDie Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/\n\nUnter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungsstellen: https://webgate.ec.europa...	Business Name:Blumenbecker Industriebedarf GmbH	Sudhoferweg 99-107BeckumNRW59269DE	15	15	12	10	30139	11182	Visit the tesa Store	https://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_bln	DE	100000.0	88.0	3134.0	[bib.beckum@blumenbecker.com]	info@kaleidoshop.de	None	[" 99-107 59269", " 214 670 936", "Telefon: 02521/8406-0"]	223
9	24	2020-11-15	Garden	Seller 25	Seller 25-link	Seller 25-storefrontlink	1-16 of over 3,000 results	97% positive in the last 12 months (610 ratings)	Herzlich willkommen auf unserer Internetpräsents.\n \n \n \n Wir sind ein alt eingesessenes Blumen-Fachgeschäft im Herzen von Korntal.\n \n\n Unser Ziel im Internet ist es, ihnen eine gute Qualität kombiniert mit kompetenter Beratung zukommen zu lassen.\n \n\n \n \n\n Lassen Sie sich bei der Verschönerung ihres Gartens bei einem Rundgang durch unsere virtuellen Verkaufsräume inspirieren und kompetent beraten.\n \n\n \n \n\n Unsere Schwerpunkte im Internet:\n \n \n\n Rasensamen\n \n\n Blumenzwiebeln\n \n\n Sämereien allgemein\n\n BIO Sämereien\n \n\n Pflanzenschutz von Bayer\n \n\n \n Chrysal D...	Business Name:Jörg Müller & Petra Scheerer GbR	Miranderstr.21Korntal-Münchingen70825DE	15	3	1	2	3286	3079	Neudorff	https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=Neudorff	DE	3000.0	97.0	610.0	[]	info@kalishop.de	None	[]	223

Last rows

	df_index	Date Added	category	sellerlink	sellerlink-url	sellerstorefront-url	sellerproductcount	sellerratings	sellerdetails	seller business name	businessaddress	Count of seller brands	Max % of negative seller ratings - last 30 days	Max % of negative seller ratings - last 90 days	Max % of negative seller ratings - last 12 months	Hero Product 1 #ratings	Hero Product 2 #ratings	Sample brand name	Sample Brand URL	country_code	seller_count	seller_positive_rating_percentage	seller_positive_rating_count	seller_email_address	seller_email_address1	seller_email_address2	seller_phone_number	days_when_seller_added
592	1780	2020-11-15	Garden	Seller 1781	Seller 1781-link	Seller 1781-storefrontlink	1-16 of over 1,000 results	97% positive in the last 12 months (631 ratings)	Matthias Löchelt\n Ruhrstraße 13\n 59955 Winterberg\n Deutschland\n Telefon: +49 (0)2985-3689961\n Fax: +49 (0)2985-3689962\n eMail: amazon@zoostore.de\n Ust-Id-Nr. DE813214373\n \n Alternative Streitbeilegung\n Die EU-Kommission stellt im Internet unter folgendem Link eine Plattform zur Online-Streitbeilegung bereit: ec.europa.eu/consumers/odr\n \nDiese Plattform dient als Anlaufstelle zur außergerichtlichen Beilegung von Streitigkeiten aus Online-Kauf- oder Dienstleistungsverträgen, an denen ein Verbraucher beteilig...	Business Name:Matthias Löchelt Versandhandel	Am Hagen 26Winterberg59955DE	14	2	2	2	601	321	Skyline	https://www.amazon.de/-/en/Skyline/b/ref=bl_dp_s_web_2464089031?ie=UTF8&node=2464089031&field-lbr_brands_browse-bin=Skyline	DE	1000.0	97.0	631.0	[amazon@zoostore.de]	NaN	NaN	["e 13-n 59955", "Telefon: +49 (0)2985-3689961", ": +49 (0)2985-3689962", "813214373"]	223
593	1781	2020-11-15	Garden	Seller 1782	Seller 1782-link	Seller 1782-storefrontlink	1-16 of 400 results	91% positive in the last 12 months (196 ratings)	Impressum\n \n Gesetzliche Anbieterkennung:\n \n Daniels Zoo & Aquaristik UG\n Sandkaulerweg 10\n 53489 Sinzig\n vertreten durch den Geschäftsführer Daniel Weber\n Telefon: 02642 / 992034\n E-Mail: amazon@zooweber.de\n USt-IdNr.: DE 283284021\n eingetragen im Handelsregister des Amtsgerichtes Koblenz\n Handelsregisternummer HRB 23132\n \n \n \n \n \nDie europäische Online-Streitbeilegungsplattform („OS-Plattform“) wird nach Bereitstellung durch die EU-Kommission über das Portal „Ihr Europa“ zugänglich sein. /https://ec.europa.eu/...	Business Name:Daniels Zoo & Aquaristik UG (haftungsbeschränkt)	Sandkaulerweg 10SinzigRheinland-Pfalz53489DE	14	0	0	7	3682	1450	(blank)	(blank)	DE	400.0	91.0	196.0	[amazon@zooweber.de]	NaN	NaN	[" 10-n 53489", "Telefon: 02642 / 992034", " 283284021", " 23132"]	223
594	1784	2020-11-15	Garden	Seller 1785	Seller 1785-link	Seller 1785-storefrontlink	1-16 of over 100,000 results	98% positive in the last 12 months (2630 ratings)	Impressum nach TMG:\n\nZoreno Versandhandel GmbH\nBlegistrasse 25\n6340 Baar\nSchweiz\n\nEmail: ade.support@zoreno.com\nGeschäftsleitung: Walter Brutscher\nUID: CHE-205.820.721\nHandelsregister-Nummer: CH-170.4.010.783-2\nHandelsregisteramt Zug/Schweiz	Business Name:Zoreno Versandhandel GmbH	Blegistrasse 25BaarZG6340CH	16	3	2	2	25802	4979	(blank)	(blank)	CH	100000.0	98.0	2630.0	[ade.support@zoreno.com]	NaN	NaN	["e 25-n6340", "205.820.721", "170.4.010.783-2"]	223
595	1785	2020-11-15	Garden	Seller 1786	Seller 1786-link	Seller 1786-storefrontlink	1-16 of 285 results	100% positive lifetime (3 total ratings)	Zorgthuiswinkel is committed to providing each customer with the highest standard of customer service.	Business Name:ZORGTHUISWINKEL.NL	industriestraat 1RijenNoord brabant5121LENL	15	0	0	0	2043	1134	St Helens Home and Garden	https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=diy&field-keywords=St+Helens+Home+and+Garden	NL	285.0	100.0	3.0	[]	NaN	NaN	[]	223
596	1798	2020-11-15	Garden	Seller 1799	Seller 1799-link	Seller 1799-storefrontlink	1-16 of over 40,000 results	67% positive lifetime (3 total ratings)	zsxaaasdf is committed to providing each customer with the highest standard of customer service.	NaN	NaN	2	0	0	0	2	0	zsxaaasdf	https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=kitchen-de&field-keywords=zsxaaasdf	NaN	40000.0	67.0	3.0	[]	NaN	NaN	[]	223
597	1808	2020-11-15	Garden	Seller 1809	Seller 1809-link	Seller 1809-storefrontlink	1-16 of 52 results	100% positive in the last 12 months (16 ratings)	Zündholz Riesa is committed to providing each customer with the highest standard of customer service.	Business Name:AD-ACCESS-Zündholz Riesa GmbH	Paul-Greifzu-Straße22Riesa01591DE	8	0	0	0	65	41	NOLA	https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=NOLA	DE	52.0	100.0	16.0	[]	NaN	NaN	[]	223
598	1813	2020-11-15	Garden	Seller 1814	Seller 1814-link	Seller 1814-storefrontlink	1-16 of 177 results	100% positive in the last 12 months (10 ratings)	Impressum:\n\nStephanie Severt\n\nZUR ROSA KUH\n\nBreekamp 29\n\n48691 Vreden\n\nTel. 02567 / 4729886\n\nE-Mail: info@zurrosakuh.de\n\nSteueridentifikation: USt-IdNr.: DE815289413\n\nUnsere E-Mail Adresse lautet: info@zurrosakuh.de\n\n\nDie Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/Unter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungsstellen: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.show	VAT Number:DE815289413	NaN	15	0	0	0	91	18	Rice	https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=Rice	NaN	177.0	100.0	10.0	[info@zurrosakuh.de, info@zurrosakuh.de]	NaN	NaN	[" 29-n-n48691", "Tel. 02567 / 4729886", "815289413"]	223
599	1814	2020-11-15	Garden	Seller 1815	Seller 1815-link	Seller 1815-storefrontlink	1-16 of over 1,000 results	91% positive in the last 12 months (3075 ratings)	Reinhard Joormann -FansandTrends- e.K. Im Stadtsfeld 55 46282 Dorsten Deutschland Telefon: 023626057826 E-Mail: r.joormann@googlemail.com USt-IdNr.: DE 814772247 eingetragen im Handelsregister des Amtsgerichtes Gelsenkirchen Handelsregisternummer : HRA 5303 Unser Servicetelefon ist von Mo.-Fr.von 10-18.00 Uhr errreichbar. Wenn Sie uns zu anderen Zeiten kontaktieren wollen, dann schreiben Sie bitte eine Mail an r.joormann@googlemail.com Danke Telefon: 023626057826 Die EU-Kommission stell...	Business Name:Reinhard Joormann -FansandTrends- e.K.	Im Stadtsfeld 55Dorsten46282DE	15	6	8	7	636	466	Star-Max	https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=Star-Max	DE	1000.0	91.0	3075.0	[r.joormann@googlemail.com, r.joormann@googlemail.com]	NaN	NaN	[" 55 46282", "Telefon: 023626057826", " 814772247", "on 10-18.00", "Telefon:023626057826"]	223
600	1815	2020-11-15	Garden	Seller 1816	Seller 1816-link	Seller 1816-storefrontlink	1-16 of over 2,000 results	100% positive lifetime (4 total ratings)	Zwoofershop is committed to providing each customer with the highest standard of customer service.	Business Name:Zwoofer.com	Orteliusstraat 287-3AmsterdamNoord-Holland1056 NVNL	16	0	0	0	27269	11333	Versele-Laga	https://www.amazon.de/-/en/Versele-Laga/b/ref=bl_dp_s_web_1801568031?ie=UTF8&node=1801568031&field-lbr_brands_browse-bin=Versele-Laga	NL	2000.0	100.0	4.0	[]	NaN	NaN	[]	223
601	1828	2020-11-15	Garden	Seller 1829	Seller 1829-link	Seller 1829-storefrontlink	NaN	NaN	NaN	NaN	NaN	0	0	0	0	0	0	XDLH	https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=kitchen-de&field-keywords=XDLH	NaN	NaN	NaN	NaN	[]	NaN	NaN	nan	223

Overview

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Most occurring scripts

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